rfj0161560/published_papers/48793101 Xuefeng Shi Ming Yang Min Hu Fuji Ren Xin Kang Weiping Ding Affective knowledge assisted bi-directional learning for Multi-modal Aspect-based Sentiment Analysis Elsevier BV Computer Speech &amp; Language 0885-2308 91 101755 101755 20250400 10.1016/j.csl.2024.101755 rfj0161560/published_papers/52464761 Xuefeng Shi Weiping Ding Min Hu Xin Kang Fuji Ren Fuzzy Humanized Sentiment Knowledge Enhanced Dependency Graphs Implementing with Aspect-based Sentiment Analysis Institute of Electrical and Electronics Engineers (IEEE) IEEE Transactions on Fuzzy Systems 1941-0034 1 13 20250000 10.1109/tfuzz.2025.3583050 rfj0161560/published_papers/48611864 Linhuang Wang Xin Kang Fei Ding Satoshi Nakagawa Fuji Ren A joint local spatial and global temporal CNN-Transformer for dynamic facial expression recognition Elsevier BV Applied Soft Computing 1568-4946 161 111680 111680 20240800 10.1016/j.asoc.2024.111680 rfj0161560/published_papers/48611872 Linhuang Wang Xin Kang Fei Ding Hai-Tao Yu Yunong Wu Kazuyuki Matsumoto Satoshi Nakagawa Fuji Ren Self Decoupling-Reconstruction Network for Facial Expression Recognition IEEE 2024 International Joint Conference on Neural Networks (IJCNN) 1 8 20240630 10.1109/ijcnn60899.2024.10651392 rfj0161560/published_papers/48611867 Fei Ding Xin Kang Linhuang Wang Yunong Wu Satoshi Nakagawa Fuji Ren Causal Inference and Prefix Prompt Engineering Based on Text Generation Models for Financial Argument Analysis The field of argument analysis has become a crucial component in the advancement of natural language processing, which holds the potential to reveal unprecedented insights from complex data and enable more efficient, cost-effective solutions for enhancing human initiatives. Despite its importance, current technologies face significant challenges, including (1) low interpretability, (2) lack of precision and robustness, particularly in specialized fields like finance, and (3) the inability to deploy effectively on lightweight devices. To address these challenges, we introduce a framework uniquely designed to process and analyze massive volumes of argument data efficiently and accurately. This framework employs a text-to-text Transformer generation model as its backbone, utilizing multiple prompt engineering methods to fine-tune the model. These methods include Causal Inference from ChatGPT, which addresses the interpretability problem, and Prefix Instruction Fine-tuning as well as in-domain further pre-training, which tackle the issues of low robustness and accuracy. Ultimately, the proposed framework generates conditional outputs for specific tasks using different decoders, enabling deployment on consumer-grade devices. After conducting extensive experiments, our method achieves high accuracy, robustness, and interpretability across various tasks, including the highest F1 scores in the NTCIR-17 FinArg-1 tasks. MDPI AG Electronics 2079-9292 13 9 1746 1746 20240501 10.3390/electronics13091746 rfj0161560/published_papers/48252418 Fu-Ji Ren Yang-Yang Zhou Jia-Wen Deng Kazuyuki Matsumoto Duo Feng Tian-Hao She Zi-Yun Jiao Zheng Liu Tai-Hao Li Satoshi Nakagawa Xin Kang Tracking Emotions Using an Evolutionary Model of Mental State Transitions: Introducing a New Paradigm Owing to rapid advancements in artificial intelligence, the role of emotion recognition has become paramount in human–computer interaction. Traditional approaches often reduce this intricate task to a mere classification problem by relying heavily on perceptual pattern-recognition techniques. However, this simplification overlooks the dynamic and multifaceted nature of human emotions. According to theories in emotion psychology, existing pattern recognition methods primarily capture external emotional expressions—termed ``external emotional energy'' (EEE)—rather than the nuanced underlying emotions. To address this gap, we introduce the evolutionary mental state transition model (EMSTM). In the initial phase, EMSTM employs standard pattern-recognition algorithms to extract EEE from multi-modal human expressions. Subsequently, it leverages a mental state transition network to model the dynamic transitions between emotional states, thereby predicting real-time emotions with higher fidelity. We validated the efficacy of EMSTM through experiments on 2 multi-label emotion datasets: CMU Multimodal Opinion Sentiment and Emotion Intensity (CMU-MOSEI) and Ren Chinese Emotion Corpus (Ren-CECps). The results indicate a marked improvement over conventional methods. By synergistically combining principles from psychology with computational techniques, EMSTM offers a holistic and accurate framework for real-time emotion tracking, aligning closely with the dynamic mental processes that govern human emotions. American Association for the Advancement of Science (AAAS) Intelligent Computing 2771-5892 3 null null 20240100 10.34133/icomputing.0075 rfj0161560/published_papers/44003904 Yuxiang Zhou Xin Kang Fuji Ren Huimin Lu Satoshi Nakagawa Xiao Shan A multi-attention and depthwise separable convolution network for medical image segmentation Elsevier BV Neurocomputing 0925-2312 564 126970 126970 20240100 10.1016/j.neucom.2023.126970 rfj0161560/published_papers/46979205 Yu Gu Huan Yan Xiang Zhang Yantong Wang Jinyang Huang Yusheng Ji Fuji Ren Attention-based gesture recognition using commodity WiFi devices IEEE Sensors Journal 23 9 null null 20230500 10.1109/JSEN.2023.3261325 rfj0161560/published_papers/46612605 Xiang Zhang 0011 Yu Gu 0003 Huan Yan Yantong Wang Mianxiong Dong Kaoru Ota Fuji Ren Yusheng Ji Wital: A COTS WiFi Devices Based Vital Signs Monitoring System Using NLOS Sensing Model. CoRR abs/2305.14490 null null 20230000 10.48550/arXiv.2305.14490 rfj0161560/published_papers/46612588 Xiang Zhang 0011 Yu Gu 0003 Huan Yan Yantong Wang Mianxiong Dong Kaoru Ota Fuji Ren Yusheng Ji Wital: A COTS WiFi Devices Based Vital Signs Monitoring System Using NLOS Sensing Model. IEEE Transactions on Human-Machine Systems 53 3 629 641 20230000 10.1109/THMS.2023.3264247 rfj0161560/published_papers/43683240 Yu Gu Xiang Zhang Huan Yan Jingyang Huang Zhi Liu Mianxiong Dong Fuji Ren WiFE: WiFi and Vision based Unobtrusive Emotion Recognition via Gesture and Facial Expression Institute of Electrical and Electronics Engineers (IEEE) IEEE Transactions on Affective Computing 1949-3045 1 16 20230000 10.1109/taffc.2023.3285777 rfj0161560/published_papers/43114321 Xin Kang Xuefeng Shi Yunong Wu Fuji Ren Active Learning With Complementary Sampling for Instructing Class-Biased Multi-Label Text Emotion Classification Institute of Electrical and Electronics Engineers (IEEE) IEEE Transactions on Affective Computing 1949-3045 14 1 523 536 20230101 10.1109/taffc.2020.3038401 rfj0161560/published_papers/43114320 Yangyang Zhou Xin Kang Fuji Ren Prompt Consistency for Multi-label Textual Emotion Detection Institute of Electrical and Electronics Engineers (IEEE) IEEE Transactions on Affective Computing 1949-3045 1 10 20230000 10.1109/taffc.2023.3254883 rfj0161560/published_papers/43114204 Fei Ding Xin Kang Satoshi Nakagawa Fuji Ren Neuro or Symbolic? Fine-tuned Transformer with Unsupervised LDA Topic Clustering for Text Sentiment Analysis Institute of Electrical and Electronics Engineers (IEEE) IEEE Transactions on Affective Computing 1949-3045 1 15 20230000 10.1109/taffc.2023.3279318 rfj0161560/published_papers/43114175 Zheng Liu Xin Kang Fuji Ren Dual-TBNet: Improving the Robustness of Speech Features via Dual-Transformer-BiLSTM for Speech Emotion Recognition Institute of Electrical and Electronics Engineers (IEEE) IEEE/ACM Transactions on Audio, Speech, and Language Processing 2329-9304 31 2193 2203 20230000 10.1109/taslp.2023.3282092 rfj0161560/published_papers/43114389 Haoyu Wang Xin Kang Fuji Ren Emotion-Sentence-DistilBERT: A Sentence-BERT-Based Distillation Model for Text Emotion Classification Springer Nature Singapore Communications in Computer and Information Science 1865-0937 313 322 20221214 10.1007/978-981-19-7943-9_27 rfj0161560/published_papers/43114388 Jiangxin He Xin Kang Fuji Ren Gait Recognition for Laboratory Safety Management Based on Human Body Pose Model Springer Nature Singapore Communications in Computer and Information Science 1865-0937 323 331 20221214 10.1007/978-981-19-7943-9_28 rfj0161560/published_papers/43114386 Xiudong Li Xin Kang Fuji Ren Use Active Learning to Construct Japanese Emoji Emotion Database Springer Nature Singapore Communications in Computer and Information Science 1865-0937 332 340 20221214 10.1007/978-981-19-7943-9_29 rfj0161560/published_papers/43114425 Yuxiang Zhou Xin Kang Fuji Ren MDSU-Net: A Multi-attention and Depthwise Separable Convolution Network for Stroke Lesion Segmentation ACM Proceedings of the 2022 9th International Conference on Biomedical and Bioinformatics Engineering null null 20221110 10.1145/3574198.3574200 rfj0161560/published_papers/43114328 Zhiyang Li Bin Li Hongjun Ni Fuji Ren Shuaishuai Lv Xin Kang An Effective Surface Defect Classification Method Based on RepVGG with CBAM Attention Mechanism (RepVGG-CBAM) for Aluminum Profiles The automatic classification of aluminum profile surface defects is of great significance in improving the surface quality of aluminum profiles in practical production. This classification is influenced by the small and unbalanced number of samples and lack of uniformity in the size and spatial distribution of aluminum profile surface defects. It is difficult to achieve high classification accuracy by directly using the current advanced classification algorithms. In this paper, digital image processing methods such as rotation, flipping, contrast, and luminance transformation were used to augment the number of samples and imitate the complex imaging environment in actual practice. A RepVGG with CBAM attention mechanism (RepVGG-CBAM) model was proposed and applied to classify ten types of aluminum profile surface defects. The classification accuracy reached 99.41%, in particular, the proposed method can perfectly classify six types of defects: concave line (cl), exposed bottom (eb), exposed corner bottom (ecb), mixed color (mc), non-conductivity (nc) and orange peel (op), with 100% precision, recall, and F1. Compared with the existing advanced classification algorithms VGG16, VGG19, ResNet34, ResNet50, ShuffleNet_v2, and basic RepVGG, our model is the best in terms of accuracy, macro precision, macro recall and macro F1, and the accuracy was improved by 4.85% over basic RepVGG. Finally, an ablation experiment proved that the classification ability was strongest when the CBAM attention mechanism was added following Stage 1 to Stage 4 of RepVGG. Overall, the method we proposed in this paper has a significant reference value for classifying aluminum profile surface defects. MDPI AG Metals 2075-4701 12 11 1809 1809 20221025 10.3390/met12111809 rfj0161560/published_papers/43114426 Fuji Ren Ziyun Jiao Xin Kang Improved Transformer-Based Implicit Latent GAN with Multi-headed Self-attention for Unconditional Text Generation Springer International Publishing IFIP Advances in Information and Communication Technology 1868-422X 166 173 20221019 10.1007/978-3-031-14903-0_18 rfj0161560/published_papers/41856982 Xiang Zhang Yu Gu Huan Yan Yantong Wang Fuji Ren Yusheng Ji Hierarchical facial expression recognition ACM Proceedings of the Conference on Research in Adaptive and Convergent Systems null null 20221003 10.1145/3538641.3561498 rfj0161560/published_papers/43114324 Fuji Ren Zheng Liu Xin Kang An Efficient Framework for Constructing Speech Emotion Corpus Based on Integrated Active Learning Strategies Institute of Electrical and Electronics Engineers (IEEE) IEEE Transactions on Affective Computing 1949-3045 13 4 1929 1940 20221001 10.1109/taffc.2022.3192899 rfj0161560/published_papers/43114427 Bin Li Fuji Ren Hongjun Ni Xin Kang Shuaishuai Lv Zhuangzhuang Hao Classification Method of Surface Defects of Aluminum Profile Based on Transfer Learning IEEE 2022 International Conference on Machine Learning and Intelligent Systems Engineering (MLISE) null null 20220800 10.1109/mlise57402.2022.00008 rfj0161560/published_papers/43114433 Yuma Komoto Xin Kang Fuji Ren Creating a Japanese Dialogue Corpus with Multi-level Topic Analysis IEEE 2022 4th International Conference on Natural Language Processing (ICNLP) null null 20220300 10.1109/icnlp55136.2022.00065 rfj0161560/published_papers/37709528 Kazuyuki Matsumoto Manabu Sasayama Minoru Yoshida Kenji Kita Fuji Ren Emotion Analysis and Dialogue Breakdown Detection in Dialogue of Chat Systems Based on Deep Neural Networks In dialogues between robots or computers and humans, dialogue breakdown analysis is an important tool for achieving better chat dialogues. Conventional dialogue breakdown detection methods focus on semantic variance. Although these methods can detect dialogue breakdowns based on semantic gaps, they cannot always detect emotional breakdowns in dialogues. In chat dialogue systems, emotions are sometimes included in the utterances of the system when responding to the speaker. In this study, we detect emotions from utterances, analyze emotional changes, and use them as the dialogue breakdown feature. The proposed method estimates emotions by utterance unit and generates features by calculating the similarity of the emotions of the utterance and the emotions that have appeared in prior utterances. We employ deep neural networks using sentence distributed representation vectors as the feature. In an evaluation of experimental results, the proposed method achieved a higher dialogue breakdown detection rate when compared to the method using a sentence distributed representation vectors. MDPI AG Electronics 2079-9292 11 5 695 695 20220224 10.3390/electronics11050695 rfj0161560/published_papers/43114434 Tatsuya Ikeagami Xin Kang Fuji Ren Improvement of Japanese Text Emotion Analysis by Active Learning Using Transformers Language Model IEEE 2022 14th International Conference on Computer Research and Development (ICCRD) null null 20220107 10.1109/iccrd54409.2022.9730387 rfj0161560/published_papers/43114432 Zheng Liu Xin Kang Fuji Ren Improving Speech Emotion Recognition by Fusing Pre-trained and Acoustic Features Using Transformer and BiLSTM Springer International Publishing IFIP Advances in Information and Communication Technology 1868-422X 348 357 20220000 10.1007/978-3-031-03948-5_28 rfj0161560/published_papers/43114431 Yangyang Zhou Xin Kang Fuji Ren Employing Contrastive Strategies for Multi-label Textual Emotion Recognition Springer International Publishing IFIP Advances in Information and Communication Technology 1868-422X 299 310 20220000 10.1007/978-3-031-03948-5_24 rfj0161560/published_papers/41856945 Yu Gu Huan Yan Xiang Zhang Yantong Wang Yusheng Ji Fuji Ren Towards Facial Expression Recognition in the Wild via Noise-tolerant Network Institute of Electrical and Electronics Engineers (IEEE) IEEE Transactions on Circuits and Systems for Video Technology 1558-2205 1 1 20220000 10.1109/tcsvt.2022.3220669 rfj0161560/published_papers/43114443 Kaixuan Wang Fuji Ren Xin Kang Shuaishuai Lv Hongjun Ni Haifeng Yuan Thermal Defect Detection and Location for Power Equipment based on Improved VGG16 IEEE 2021 IEEE International Conference on Agents (ICA) null null 20211200 10.1109/ica54137.2021.00014 rfj0161560/published_papers/43114442 Zhuangzhuang Hao Fuji Ren Xin Kang Hongjun Ni Shuaishuai Lv Hui Wang Classification of Steel Strip Surface Defects Based on Optimized ResNet18 IEEE 2021 IEEE International Conference on Agents (ICA) null null 20211200 10.1109/ica54137.2021.00018 rfj0161560/published_papers/43114444 Yusuke Kubono Xin Kang Fuji Ren Shun Nishide Prediction and Generation of Multiple Complex Drawing Figures From Partial Drawing Sequences IEEE 2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM) null null 20211128 10.1109/hnicem54116.2021.9732036 rfj0161560/published_papers/47128392 Qian Zhang Fuji Ren Double bayesian pairwise learning for one-class collaborative filtering Elsevier B.V. Knowledge-Based Systems 0950-7051 229 null null 20211011 10.1016/j.knosys.2021.107339 2-s2.0-85112644420 rfj0161560/published_papers/47124503 Siyuan Xue Fuji Ren Intent-enhanced attentive Bert capsule network for zero-shot intention detection Elsevier B.V. Neurocomputing 1872-8286 458 1 13 20211007 10.1016/j.neucom.2021.05.085 2-s2.0-85107650890 rfj0161560/published_papers/47131160 Tianhao She Fuji Ren Enhance the language ability of humanoid robot NAO through deep learning to interact with autistic children MDPI Electronics (Switzerland) 2079-9292 10 19 null null 20211001 10.3390/electronics10192393 2-s2.0-85116006812 rfj0161560/published_papers/47096463 Wenjie Liu Guoqing Wu Fuji Ren Deep Multibranch Fusion Residual Network for Insect Pest Recognition Institute of Electrical and Electronics Engineers Inc. IEEE Transactions on Cognitive and Developmental Systems 2379-8939 13 3 705 716 20210901 10.1109/TCDS.2020.2993060 2-s2.0-85084465396 rfj0161560/published_papers/47117330 Qian Zhang Fuji Ren Prior-based bayesian pairwise ranking for one-class collaborative filtering Elsevier B.V. Neurocomputing 1872-8286 440 365 374 20210614 10.1016/j.neucom.2021.01.117 2-s2.0-85102024127 rfj0161560/published_papers/47123666 Duo Feng Fuji Ren Data-driven channel pruning towards local binary convolution inverse bottleneck network based on squeeze-and-excitation optimization weights MDPI AG Electronics (Switzerland) 2079-9292 10 11 null null 20210601 10.3390/electronics10111329 2-s2.0-85106933886 rfj0161560/published_papers/42147869 Yu Gu Huan Yan Mianxiong Dong Meng Wang Xiang Zhang Zhi Liu Fuji Ren WiONE: One-Shot Learning for Environment-Robust Device-Free User Authentication via Commodity Wi-Fi in Man–Machine System Institute of Electrical and Electronics Engineers (IEEE) IEEE Transactions on Computational Social Systems 2329-924X 8 3 630 642 20210600 10.1109/tcss.2021.3056654 rfj0161560/published_papers/47119007 Xiaohua Wang Cong Yu Yu Gu Min Hu Fuji Ren Multi-Task and Attention Collaborative Network for Facial Emotion Recognition John Wiley and Sons Inc IEEJ Transactions on Electrical and Electronic Engineering 1931-4981 16 4 568 576 20210401 10.1002/tee.23331 2-s2.0-85103150491 rfj0161560/published_papers/47114838 Ziyun Jiao Fuji Ren WRGAN: Improvement of RelGAN with wasserstein loss for text generation MDPI AG Electronics (Switzerland) 2079-9292 10 3 1 14 20210000 10.3390/electronics10030275 2-s2.0-85099941045 rfj0161560/published_papers/47114781 Jiawen Deng Fuji Ren Hierarchical network with label embedding for contextual emotion recognition American Association for the Advancement of Science Research 2639-5274 2021 null null 20210101 10.34133/2021/3067943 2-s2.0-85099884229 rfj0161560/published_papers/42147836 Yu Gu Huan Yan Xiang Zhang Zhi Liu Fuji Ren 3-D Facial Expression Recognition via Attention-Based Multichannel Data Fusion Network Institute of Electrical and Electronics Engineers (IEEE) IEEE Transactions on Instrumentation and Measurement 1557-9662 70 1 10 20210000 10.1109/tim.2021.3125972 rfj0161560/published_papers/47106585 Yindong Dong Fuji Ren Multi-reservoirs EEG signal feature sensing and recognition method based on generative adversarial networks Elsevier B.V. Computer Communications 1873-703X 164 177 184 20201201 10.1016/j.comcom.2020.10.004 2-s2.0-85094170983 rfj0161560/published_papers/34432102 Wenjie Liu Guoqing Wu Fuji Ren Xin Kang DFF-ResNet: An insect pest recognition model based on residual networks Tsinghua University Press Big Data Mining and Analytics 2096-0654 3 4 300 310 20201200 10.26599/bdma.2020.9020021 rfj0161560/published_papers/47099102 Tian Chen Sihang Ju Fuji Ren Mingyan Fan Yu Gu EEG emotion recognition model based on the LIBSVM classifier Elsevier B.V. Measurement: Journal of the International Measurement Confederation 0263-2241 164 null null 20201101 10.1016/j.measurement.2020.108047 2-s2.0-85086700562 rfj0161560/published_papers/30423575 Zhichao Cui Yaochen Li Chi Zhang Yuehu Liu Fuji Ren Coarse-to-fine 3D road model registration for traffic video augmentation Institution of Engineering and Technology (IET) IET Image Processing 1751-9667 14 12 2690 2700 20201016 10.1049/iet-ipr.2019.1036 rfj0161560/published_papers/47108463 Shota Inui Fuji Ren Shun Nishide Xin Kang Gait recognition in real environment using gait energy image generated by Mask R-CNN Institute of Electrical and Electronics Engineers Inc. 2020 IEEE International Conference on Mechatronics and Automation, ICMA 2020 1129 1133 20201013 10.1109/ICMA49215.2020.9233582 2-s2.0-85096592350 rfj0161560/published_papers/30423588 Degen HUANG Anil AHMED Syed Yasser ARAFAT Khawaja Iftekhar RASHID Qasim ABBAS Fuji REN Sentence-Embedding and Similarity via Hybrid Bidirectional-LSTM and CNN Utilizing Weighted-Pooling Attention Institute of Electronics, Information and Communications Engineers (IEICE) IEICE Transactions on Information and Systems 1745-1361 E103.D 10 2216 2227 20201001 10.1587/transinf.2018edp7410 rfj0161560/published_papers/30423592 Jiaqiao Zhang Xin Kang Hongjun Ni Fuji Ren Surface defect detection of steel strips based on classification priority YOLOv3-dense network Informa UK Limited Ironmaking & Steelmaking 1743-2812 1 12 20200915 10.1080/03019233.2020.1816806 rfj0161560/published_papers/30423613 Leyuan Jia Yu Gu Ken Cheng Huan Yan Fuji Ren BeAware: Convolutional neural network(CNN) based user behavior understanding through WiFi channel state information Elsevier BV Neurocomputing 0925-2312 397 457 463 20200700 10.1016/j.neucom.2019.09.111 rfj0161560/published_papers/34432145 Zheng Liu Xin Kang Shun Nishide Fuji Ren Vowel priority lip matching scheme and similarity evaluation model based on humanoid robot Ren-Xin Springer Science and Business Media LLC Journal of Ambient Intelligence and Humanized Computing 1868-5145 null null 20200611 10.1007/s12652-020-02175-9 rfj0161560/published_papers/30423650 Yu Gu Yantong Wang Tao Liu Yusheng Ji Zhi Liu Peng Li Xiaoyan Wang Xin An Fuji Ren EmoSense: Computational Intelligence Driven Emotion Sensing via Wireless Channel Data Institute of Electrical and Electronics Engineers (IEEE) IEEE Transactions on Emerging Topics in Computational Intelligence 2471-285X 4 3 216 226 20200600 10.1109/tetci.2019.2902438 rfj0161560/published_papers/47098134 Hiroaki Sumida Fuji Ren Shun Nishide Xin Kang Environment Recognition Using Robot Camera Institute of Electrical and Electronics Engineers Inc. 2020 5th IEEE International Conference on Big Data Analytics, ICBDA 2020 282 286 20200501 10.1109/ICBDA49040.2020.9101205 2-s2.0-85085925065 rfj0161560/published_papers/47066323 Fuji Ren Yindong Dong Wei Wang Correction to: Emotion recognition based on physiological signals using brain asymmetry index and echo state network (Neural Computing and Applications, (2019), 31, 9, (4491-4501), 10.1007/s00521-018-3664-1) Springer Neural Computing and Applications 1433-3058 32 10 6415 null 20200501 10.1007/s00521-018-3831-4 2-s2.0-85056623007 rfj0161560/published_papers/30423670 Yu Zhao Anxiang Zhang Huali Feng Qing Li Patrick Gallinari Fuji Ren Knowledge graph entity typing via learning connecting embeddings Elsevier BV Knowledge-Based Systems 0950-7051 196 105808 105808 20200500 10.1016/j.knosys.2020.105808 rfj0161560/published_papers/30423685 Tian Chen Yongsheng Zuo Xin An Fuji Ren A variable-length compatible compression scheme based on tristate signals Springer Science and Business Media LLC The Journal of Supercomputing 1573-0484 76 2 1020 1033 20200200 10.1007/s11227-019-03071-6 rfj0161560/published_papers/27917529 Xin Kang 康 シン Yunong Wu 呉 雨濃 Fuji Ren 任 福継 Toward action comprehension for searching: Mining actionable intents in query entities Wiley Journal of the Association for Information Science and Technology Journal of the Association for Information Science and Technology (JASIST) 2330-1643 71 2 143 157 20200200 10.1002/asi.24220 rfj0161560/published_papers/47108218 Jia Liu Xin Kang Shun Nishide Fuji Ren Collaborative filtering recommendation algorithm based on bisecting K-means clustering SPIE Proceedings of SPIE - The International Society for Optical Engineering 1996-756X 11574 null null 20200000 10.1117/12.2580026 2-s2.0-85096355579 rfj0161560/published_papers/47108210 Qianqian Li Fuji Ren Xiaoyan Shen Xin Kang Speech emotion recognition based on data enhancement in time-frequency domain SPIE Proceedings of SPIE - The International Society for Optical Engineering 1996-756X 11574 null null 20200000 10.1117/12.2579205 2-s2.0-85096352430 rfj0161560/published_papers/47108206 Fei Ding Xin Kang Shun Nishide Zhijin Guan Fuji Ren A fusion model for multi-label emotion classification based on BERT and topic clustering SPIE Proceedings of SPIE - The International Society for Optical Engineering 1996-756X 11574 null null 20200000 10.1117/12.2579255 2-s2.0-85096351573 rfj0161560/published_papers/47108045 Yangyang Zhou Fuji Ren CERG: Chinese emotional response generator with retrieval method American Association for the Advancement of Science Research 2639-5274 2020 null null 20200000 10.34133/2020/2616410 2-s2.0-85096210367 rfj0161560/published_papers/47104141 Fusei Nomoto Tadayoshi Yasuda Shun Nishide Xin Kang Fuji Ren Hierarchical learning of primitives using neurodynamic model Springer Science and Business Media Deutschland GmbH Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 1611-3349 12144 722 731 20200000 10.1007/978-3-030-55789-8_62 2-s2.0-85091293698 rfj0161560/published_papers/47104138 Koji Masago Mizuho Amo Shun Nishide Xin Kang Fuji Ren Generation of musical scores from chord sequences using neurodynamic model Springer Science and Business Media Deutschland GmbH Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 1611-3349 12144 638 648 20200000 10.1007/978-3-030-55789-8_55 2-s2.0-85091292688 rfj0161560/published_papers/47092609 Yongjia Xu Fuji Ren Shun Nishide Using CNN's gait recognition to strengthen laboratory safety supervision International Workshop on Computer Science and Engineering (WCSE) Proceedings of 2019 the 9th International Workshop on Computer Science and Engineering, WCSE 2019 181 188 20200000 2-s2.0-85081112902 rfj0161560/published_papers/47092592 Zheng Liu Fuji Ren Xin Kang Research on the effect of different speech segment lengths on speech emotion recognition based on LSTM International Workshop on Computer Science and Engineering (WCSE) Proceedings of 2019 the 9th International Workshop on Computer Science and Engineering, WCSE 2019 491 499 20200000 2-s2.0-85081110971 rfj0161560/published_papers/47092563 Qingqing Lu Xiaomei Zhang Xin Kang Fuji Ren Feature fusion based on neural image captioning with spatial attention International Workshop on Computer Science and Engineering (WCSE) Proceedings of 2019 the 9th International Workshop on Computer Science and Engineering, WCSE 2019 195 200 20200000 2-s2.0-85081102148 rfj0161560/published_papers/47092560 Yitian Lu Ping Jiang Shun Nishide Xin Kang Fuji Ren Traffic sign recognition based on up-sampling convolution International Workshop on Computer Science and Engineering (WCSE) Proceedings of 2019 the 9th International Workshop on Computer Science and Engineering, WCSE 2019 136 142 20200000 2-s2.0-85081101925 rfj0161560/published_papers/47091989 Xiaohua Wang Lijuan Pan Muzi Peng Min Hu Chunhua Jin Fuji Ren Video Emotion Recognition Based on Hierarchical Attention Model Institute of Computing Technology Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics 1003-9775 32 1 27 35 20200101 10.3724/SP.J.1089.2020.17719 2-s2.0-85080026347 rfj0161560/published_papers/30423673 Omar Ahmed Fuji Ren Ammar Hawbani Yaser Al-Sharabi Energy Optimized Congestion Control-Based Temperature Aware Routing Algorithm for Software Defined Wireless Body Area Networks Institute of Electrical and Electronics Engineers (IEEE) IEEE Access 2169-3536 8 41085 41099 20200000 10.1109/access.2020.2976819 rfj0161560/published_papers/30423672 Fuji Ren Yangyang Zhou CGMVQA: A New Classification and Generative Model for Medical Visual Question Answering Institute of Electrical and Electronics Engineers (IEEE) IEEE Access 2169-3536 8 50626 50636 20200000 10.1109/access.2020.2980024 rfj0161560/published_papers/30423665 Fuji Ren Qian Zhang An Emotion Expression Extraction Method for Chinese Microblog Sentences Institute of Electrical and Electronics Engineers (IEEE) IEEE Access 2169-3536 8 69244 69255 20200000 10.1109/access.2020.2985726 rfj0161560/published_papers/30423664 Fuji Ren Siyuan Xue Intention Detection Based on Siamese Neural Network With Triplet Loss Institute of Electrical and Electronics Engineers (IEEE) IEEE Access 2169-3536 8 82242 82254 20200000 10.1109/access.2020.2991484 rfj0161560/published_papers/30423599 Xiaohua Wang Jianqiao Gong Min Hu Yu Gu Fuji Ren LAUN Improved StarGAN for Facial Emotion Recognition Institute of Electrical and Electronics Engineers (IEEE) IEEE Access 2169-3536 8 161509 161518 20200000 10.1109/access.2020.3021531 rfj0161560/published_papers/30423596 Zhong Huang Fuji Ren Min Hu Sugen Chen Facial Expression Imitation Method for Humanoid Robot Based on Smooth-Constraint Reversed Mechanical Model (SRMM) Institute of Electrical and Electronics Engineers (IEEE) IEEE Transactions on Human-Machine Systems 2168-2305 1 12 20200000 10.1109/thms.2020.3017781 rfj0161560/published_papers/30423583 Fuji Ren Yanwei Bao A Review on Human-Computer Interaction and Intelligent Robots In the field of artificial intelligence, human–computer interaction (HCI) technology and its related intelligent robot technologies are essential and interesting contents of research. From the perspective of software algorithm and hardware system, these above-mentioned technologies study and try to build a natural HCI environment. The purpose of this research is to provide an overview of HCI and intelligent robots. This research highlights the existing technologies of listening, speaking, reading, writing, and other senses, which are widely used in human interaction. Based on these same technologies, this research introduces some intelligent robot systems and platforms. This paper also forecasts some vital challenges of researching HCI and intelligent robots. The authors hope that this work will help researchers in the field to acquire the necessary information and technologies to further conduct more advanced research. World Scientific Pub Co Pte Lt International Journal of Information Technology & Decision Making 1793-6845 19 01 5 47 20200100 10.1142/s0219622019300052 rfj0161560/published_papers/30423684 Ni Zhang Zhao Wang Lv Ren Wang Design on the Winter Jujubes Harvesting and Sorting Device According to the existing problems of winter jujube harvesting, such as the intensive labor of manual picking, damage to the surface of winter jujubes, a winter jujube harvesting and sorting device was developed. This device consisted of vibration mechanism, collection mechanism, and sorting mechanism. The eccentric vibration mechanism made the winter jujubes fall, and the umbrella collecting mechanism can collect winter jujube and avoid the impact of winter jujube on the ground, and the sorting mechanism removed jujube leaves and divided the jujube into two types, and the automatic leveling mechanism made the device run smoothly in the field. Through finite element analysis and BP (Back Propagation) neural network analysis, the results show that: The vibration displacement of jujube tree is related to the trunk diameter and vibration position; the impact force of winter jujubes falling is related to the elastic modulus of umbrella material; the collecting area can be increased four times for each additional step of the collection mechanism; jujube leaves can be effectively removed when blower wind speed reaches 45.64 m/s. According to the evaluation standard grades of the jujubes harvesting and sorting, the device has good effects and the excellent rate up to 90%, which has good practicability and economy. MDPI AG Applied Sciences 2076-3417 9 24 5546 5546 20191216 10.3390/app9245546 rfj0161560/published_papers/30423677 Zhichao Cui Yuehu Liu Fuji Ren Homography-based traffic sign localisation and pose estimation from image sequence Institution of Engineering and Technology (IET) IET Image Processing 1751-9667 13 14 2829 2839 20191212 10.1049/iet-ipr.2019.0023 rfj0161560/published_papers/47097085 Ryosuke Yasumura Shun Nishide Xin Kang Fuji Ren Constructing a fundamental developmental drawing learning model using an arm robot Institute of Electrical and Electronics Engineers Inc. Proceedings of 2019 6th IEEE International Conference on Cloud Computing and Intelligence Systems, CCIS 2019 185 189 20191201 10.1109/CCIS48116.2019.9073689 2-s2.0-85085033634 rfj0161560/published_papers/47097072 Haiyan Chen Zheng Liu Xin Kang Shun Nishide Fuji Ren Investigating voice features for Speech emotion recognition based on four kinds of machine learning methods Institute of Electrical and Electronics Engineers Inc. Proceedings of 2019 6th IEEE International Conference on Cloud Computing and Intelligence Systems, CCIS 2019 195 199 20191201 10.1109/CCIS48116.2019.9073725 2-s2.0-85085022539 rfj0161560/published_papers/47097067 Junlin Hu Xin Kang Shun Nishide Fuji Ren Text multi-label sentiment analysis based on Bi-LSTM Institute of Electrical and Electronics Engineers Inc. Proceedings of 2019 6th IEEE International Conference on Cloud Computing and Intelligence Systems, CCIS 2019 16 20 20191201 10.1109/CCIS48116.2019.9073727 2-s2.0-85085019906 rfj0161560/published_papers/47097060 Rongyu Dou Nishide Shun Fuji Ren Xin Kang Exploring uncertain samples through active learning to enhance text emotion classification Institute of Electrical and Electronics Engineers Inc. Proceedings of 2019 6th IEEE International Conference on Cloud Computing and Intelligence Systems, CCIS 2019 26 30 20191201 10.1109/CCIS48116.2019.9073729 2-s2.0-85085013867 rfj0161560/published_papers/47097044 Jiaen Li Fuji Ren Shun Nishide Xin Kang Character action recognition based on deep convolutional neural network and action sequence Institute of Electrical and Electronics Engineers Inc. Proceedings of 2019 6th IEEE International Conference on Cloud Computing and Intelligence Systems, CCIS 2019 149 153 20191201 10.1109/CCIS48116.2019.9073735 2-s2.0-85085003715 rfj0161560/published_papers/47097041 Xin Lu Xin Kang Shun Nishide Fuji Ren Object detection based on SSD-ResNet Institute of Electrical and Electronics Engineers Inc. Proceedings of 2019 6th IEEE International Conference on Cloud Computing and Intelligence Systems, CCIS 2019 89 92 20191201 10.1109/CCIS48116.2019.9073753 2-s2.0-85085002597 rfj0161560/published_papers/47092716 Yitao Zhou Fuji Ren Shun Nishide Xin Kang Facial sentiment classification based on resnet-18 model Institute of Electrical and Electronics Engineers Inc. Proceedings - 2019 International Conference on Electronic Engineering and Informatics, EEI 2019 463 466 20191101 10.1109/EEI48997.2019.00106 2-s2.0-85081182319 rfj0161560/published_papers/30423738 Xiao Sun Tao Hong Changliang Li Fuji Ren Hybrid spatiotemporal models for sentiment classification via galvanic skin response Elsevier BV Neurocomputing 0925-2312 358 385 400 20190900 10.1016/j.neucom.2019.05.061 rfj0161560/published_papers/30423689 Xinyu HE Lishuang LI Xingchen SONG Degen HUANG Fuji REN Multi-Level Attention Based BLSTM Neural Network for Biomedical Event Extraction Institute of Electronics, Information and Communications Engineers (IEICE) IEICE Transactions on Information and Systems 1745-1361 E102.D 9 1842 1850 20190901 10.1587/transinf.2018edp7268 rfj0161560/published_papers/26277079 Yu Gu Xiang Zhang Zhi Liu Fuji Ren BeSense: Leveraging WiFi Channel Data and Computational Intelligence for Behavior Analysis IEEE Computational Intelligence Magazine null null 20190900 rfj0161560/published_papers/47087240 Tao Hong Xiao Sun Fang Tian Fuji Ren Sentiment Classification and Personality Detection Via Galvanic Skin Response Based on Deep Learning Models Institute of Electrical and Electronics Engineers Inc. Proceedings - 5th International Conference on Big Data Computing and Communications, BIGCOM 2019 313 317 20190801 10.1109/BIGCOM.2019.00054 2-s2.0-85076101681 rfj0161560/published_papers/47083140 Jingwei Tang Xingtian Yao Xin Kang Shun Nishide Fuji Ren Position-Free Hand Gesture Recognition Using Single Shot MultiBox Detector Based Neural Network Institute of Electrical and Electronics Engineers Inc. Proceedings of 2019 IEEE International Conference on Mechatronics and Automation, ICMA 2019 2251 2256 20190801 10.1109/ICMA.2019.8816203 2-s2.0-85072403779 rfj0161560/published_papers/47083137 Yuxiang Zhou Hongjun Ni Fuji Ren Xin Kang Face and gender recognition system based on convolutional neural networks Institute of Electrical and Electronics Engineers Inc. Proceedings of 2019 IEEE International Conference on Mechatronics and Automation, ICMA 2019 1091 1095 20190801 10.1109/ICMA.2019.8816192 2-s2.0-85072402878 rfj0161560/published_papers/47083114 Kangwei Fu Ling Sun Xin Kang Fuji Ren Text Detection for Natural Scene based on MobileNet V2 and U-Net Institute of Electrical and Electronics Engineers Inc. Proceedings of 2019 IEEE International Conference on Mechatronics and Automation, ICMA 2019 1560 1564 20190801 10.1109/ICMA.2019.8816384 2-s2.0-85072394301 rfj0161560/published_papers/27917533 Xuefeng Shi Xin Kang Ping Liao Fuji Ren Building Label-Balanced Emotion Corpus Based on Active Learning for Text Emotion Classification The 4th International Symposium on Artificial Intelligence and Robotics (ISAIR 2019) null null 20190800 rfj0161560/published_papers/30423734 Wang Xiaohua Peng Muzi Pan Lijuan Hu Min Jin Chunhua Ren Fuji Two-level attention with two-stage multi-task learning for facial emotion recognition Elsevier BV Journal of Visual Communication and Image Representation 1047-3203 62 217 225 20190700 10.1016/j.jvcir.2019.05.009 rfj0161560/published_papers/47074449 Ning Liu Fuji Ren Emotion classification using a CNN_LSTM-based model for smooth emotional synchronization of the humanoid robot REN-XIN Public Library of Science PLoS ONE 1932-6203 14 5 null null 20190501 10.1371/journal.pone.0215216 31048831 2-s2.0-85065581029 rfj0161560/published_papers/47073965 Jiawen Deng Fuji Ren Text Classification with Keywords and Co-occurred Words in Two-stream Neural Network Institute of Electrical and Electronics Engineers Inc. Proceedings of 2018 5th IEEE International Conference on Cloud Computing and Intelligence Systems, CCIS 2018 456 460 20190412 10.1109/CCIS.2018.8691302 2-s2.0-85064990328 rfj0161560/published_papers/47073962 Duo Feng Fuji Ren Dynamic Facial Expression Recognition based on Two-Stream-CNN with LBP-TOP Institute of Electrical and Electronics Engineers Inc. Proceedings of 2018 5th IEEE International Conference on Cloud Computing and Intelligence Systems, CCIS 2018 355 359 20190412 10.1109/CCIS.2018.8691380 2-s2.0-85064987726 rfj0161560/published_papers/47073953 Mengjia He Fuji Ren Adaptive Conversation System Based on Script : First Work:Construct Script with Vector and Classify it with SIFT Institute of Electrical and Electronics Engineers Inc. Proceedings of 2018 5th IEEE International Conference on Cloud Computing and Intelligence Systems, CCIS 2018 562 566 20190412 10.1109/CCIS.2018.8691326 2-s2.0-85064983590 rfj0161560/published_papers/47072707 Siyuan Xue Fuji Ren Dialogue Act Recognition for Open-Domain Based on Word-Level Sequence Annotation with CRF IEEE Computer Society Proceedings of the IEEE International Conference on Software Engineering and Service Sciences, ICSESS 2327-0594 2018- 36 40 20190308 10.1109/ICSESS.2018.8663960 2-s2.0-85063602758 rfj0161560/published_papers/47075103 Zhong Huang Fuji Ren Min Hu Juan Liu A Real-time Expression Mimicking Method for Humanoid Robot Based on Dual LSTM Fusion Chinese Academy of Sciences Jiqiren/Robot 1002-0446 41 2 137 146 20190301 10.13973/j.cnki.robot.180145 2-s2.0-85066125967 rfj0161560/published_papers/30423751 Xiaoxia LIU Degen HUANG Zhangzhi YIN Fuji REN Recognition of Collocation Frames from Sentences Institute of Electronics, Information and Communications Engineers (IEICE) IEICE Transactions on Information and Systems 1745-1361 E102.D 3 620 627 20190301 10.1587/transinf.2018edp7255 rfj0161560/published_papers/26867415 Kazuyuki Matsumoto 松本 和幸 Fuji Ren 任 福継 Masaya Matsuoka 松岡 雅也 Minoru Yoshida 吉田 稔 Kenji Kita 北 研二 Slang feature extraction by analysing topic change on social media Slang Feature Extraction by Analyzing Topic Change on Social Media Institution of Engineering and Technology (IET) CAAI Transactions on Intelligence Technology 2468-2322 4 1 64 71 20190301 10.1049/trit.2018.1060 rfj0161560/published_papers/47071322 Shun Nishide Fuji Ren Improvement of Developmental Drawing Imitation Using Recurrent Neural Network Through Incorporation of AVITEWRITE Model Institute of Electrical and Electronics Engineers Inc. Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018 1 5 20190116 10.1109/SMC.2018.00009 2-s2.0-85062224762 rfj0161560/published_papers/47080874 Yangyang Zhou Xin Kang Fuji Ren TUA1 at ImageCLeF 2019 VQA-MED: A classification and generation model based on transfer learning CEUR-WS CEUR Workshop Proceedings 1613-0073 2380 null null 20190000 2-s2.0-85070500176 rfj0161560/published_papers/30423756 Xinhua Cao Taihao Li Hongli Li Shunren Xia Fuji Ren Ye Sun Xiaoyin Xu A Robust Parameter-Free Thresholding Method for Image Segmentation Institute of Electrical and Electronics Engineers (IEEE) IEEE Access 2169-3536 7 3448 3458 20190000 10.1109/access.2018.2889013 rfj0161560/published_papers/30423723 Juan Liu Zhong Huang Fuji Ren Lei Hua Drug-Drug Interaction Extraction Based on Transfer Weight Matrix and Memory Network Institute of Electrical and Electronics Engineers (IEEE) IEEE Access 2169-3536 7 101260 101268 20190000 10.1109/access.2019.2930641 rfj0161560/published_papers/30423701 Min Hu Yaqin Zheng Chunjian Yang Xiaohua Wang Lei He Fuji Ren Facial Expression Recognition Using Fusion Features Based on Center-Symmetric Local Octonary Pattern Institute of Electrical and Electronics Engineers (IEEE) IEEE Access 2169-3536 7 29882 29890 20190000 10.1109/access.2019.2899024 rfj0161560/published_papers/30423699 Min Hu Chunjian Yang Yaqin Zheng Xiaohua Wang Lei He Fuji Ren Facial Expression Recognition Based on Fusion Features of Center-Symmetric Local Signal Magnitude Pattern Institute of Electrical and Electronics Engineers (IEEE) IEEE Access 2169-3536 7 118435 118445 20190000 10.1109/access.2019.2936976 rfj0161560/published_papers/30423698 Fuji Ren Wenjie Liu Guoqing Wu Feature Reuse Residual Networks for Insect Pest Recognition Institute of Electrical and Electronics Engineers (IEEE) IEEE Access 2169-3536 7 122758 122768 20190000 10.1109/access.2019.2938194 rfj0161560/published_papers/30423679 Xiaohua Wang Muzi Peng Lijuan Pan Min Hu Chunhua Jin Fuji Ren Two-Level Attention with Multi-task Learning for Facial Emotion Estimation Springer International Publishing MultiMedia Modeling 1611-3349 227 238 20190000 10.1007/978-3-030-05710-7_19 rfj0161560/published_papers/17250277 Fuji Ren Jiawen Deng Background Knowledge Based Multi-Stream Neural Network for Text Classification As a foundation and typical task in natural language processing, text classification has been widely applied in many fields. However, as the basis of text classification, most existing corpus are imbalanced and often result in the classifier tending its performance to those categories with more texts. In this paper, we propose a background knowledge based multi-stream neural network to make up for the imbalance or insufficient information caused by the limitations of training corpus. The multi-stream network mainly consists of the basal stream, which retains original sequence information, and background knowledge-based streams. Background knowledge is composed of keywords and co-occurred words which are extracted from external corpus. Background knowledge-based streams are devoted to realizing supplemental information and reinforce the basal stream. To better fuse the features extracted from different streams, early-fusion and two after-fusion strategies are employed. According to the results obtained from both Chinese corpus and English corpus, it is demonstrated that the proposed background knowledge based multi-stream neural network performs well in classification tasks. 自然言語処理の基礎となる典型的なタスクとして，テキスト分類は多くの分野で広く適用されてきた．しかし，テキスト分類の基礎として，既存のコーパスのほとんどが不均衡であり，しばしば分類子がより多くのテキストを有するカテゴリにその性能を向ける結果となる．本論文では，トレーニングコーパスの限界に起因する不均衡や不十分な情報を補うための背景知識ベースのマルチストリームニューラルネットワークを提案する．マルチストリームネットワークは，元のシーケンス情報を保持する基底ストリームと背景知識ベースのストリームから主に構成される．背景知識は，外部コーパスから抽出されたキーワードと共起語からなる．背景知識ベースのストリームは，補足情報を実現し，基礎ストリームを強化することに専念している．異なるストリームから抽出された特徴をよりよく融合させるために，初期融合および2つのアフター融合戦略が用いられる．実験により，提案された背景知識ベースのマルチストリームニューラルネットワークが分類作業において良好に機能することが実証された． Applied Sciences 2076-3417 1 1 18 20181201 10.3390/app8122472 rfj0161560/published_papers/28369583 Yu Wang Fuji Ren Changqin Quan A New Factored POMDP Model Framework for Affective Tutoring Systems IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING 1931-4981 13 11 1603 1611 20181100 10.1002/tee.22725 rfj0161560/published_papers/27917527 Yoshie Setsu Xin Kang Shun Nishide Fuji Ren Emotion recognition for Twitter language based on lingual and expressional information Proceedings of 2018 5th IEEE International Conference on Cloud Computing and Intelligence Systems (CCIS2018) 730 734 20181100 rfj0161560/published_papers/27917525 Tianhao She Xin Kang Shun Nishide Fuji Ren Improving LEO Robot ConversationalAbility via Deep Learning Algorithms for 416 Children with Autism Proceedings of 2018 5th IEEE International Conference on Cloud Computing and Intelligence Systems (CCIS2018) 416 420 20181100 rfj0161560/published_papers/26867413 MATSUMOTO KAZUYUKI 松本 和幸 SASAYAMA MANABU 篠山 学 YOSHIDA MINORU 吉田 稔 KITA KENJI 北 研二 REN FUJI 任 福継 Transfer Learning Based on Utterance Emotion Corpus for Lyric Emotion Estimation Proceedings of 2018 5th IEEE International Conference on Cloud Computing and Intelligence Systems (CCIS) 704 708 20181100 rfj0161560/published_papers/30423768 Zhao Han Fuji Ren Duoqian Miao Sentiment analysis method based on an improved modifying-matrix language model Wiley IEEJ Transactions on Electrical and Electronic Engineering 1931-4973 13 10 1446 1453 20181000 10.1002/tee.22711 rfj0161560/published_papers/27917530 Xin Kang Yunong Wu Fuji Ren Progressively Improving Supervised Emotion Classification Through Active Learning Multi-disciplinary Trends in Artificial Intelligence. MIWAI 2018. Lecture Notes in Computer Science 11248 49 57 20181000 rfj0161560/published_papers/17250278 Tian Chen Sihang Ju Xiaohui Yuan Mohamed Elhoseny Fuji Ren Mingyan Fan Emotion recognition using empirical mode decomposition and approximation entropy Automatic human emotion recognition is a key technology for human-machine interac tion. In this paper, we propose an electroencephalogram (EEG) feature extraction method that leverages empirical mode decomposition and Approximation Entropy. In our proposed method, Empirical Mode Decomposition (EMD) is used to process EEG signals after data processing and obtains several intrinsic eigenmode functions. The Approximation Entropy (ApEn) of the rst four Intrinsic Mode Functions (IMFs) is computed, which is used as the features from EEG signals for learning and recognition. An integration of Deep Belief Net work and Support Vector Machine is devised for classi cation, which takes the eigenvec tors from the extracted feature to identify four principal human emotions, namely happy, calm, sad, and fear. Experiments are conducted with EEG data acquired with a 16-lead device. Our experimental results demonstrate that the proposed method achieves an im proved accuracy that is highly competitive to the state-of-the-art methods. The average accuracy is 83.34%, and the best accuracy reaches 87.32% 感情認識は人間と機械の相互作用のための重要な技術である．本論文では，経験的モード分解と近似エントロピーを利用した脳波(EEG)特徴抽出法を提案する．提案手法では，データ処理後の脳波信号を処理するためにEMD(Empirical Mode Decomposition)が用いられ，いくつかの固有固有モード関数が得られる．最初の4つの固有モード関数(IMF)の近似エントロピー(ApEn)が計算され，学習と認識のためのEEG信号のフィーチャとして使用される． Deep Belief NetとSupport Vector Machineの統合は，抽出された特徴から固有ベクトルをとり，4つの主要な人間の感情，すなわち幸せ，穏やか，悲しみ，恐怖を識別する分類のために考案される． 16誘導装置で得られた脳波データを用いて実験を行う．我々の実験結果は，平均精度は83.34%であり，最高精度は87.32%である．これは提案された方法の有効性を確かめることができた． Computers & Electrical Engineering 0045-7906 72 1 383 392 20181001 10.1016/j.compeleceng.2018.09.022 rfj0161560/published_papers/27917499 Zhou Yangyang Xin Kang Fuji Ren Employing Inception-Resnet-v2 and Bi-LSTM for Medical Domain Visual Question Answering CEUR Workshop Proceedings (CEUR-WS.org) 2125 null null 20180900 rfj0161560/published_papers/27917498 Liu Ning Zhou Zheng Xin Kang Fuji Ren TUA1 at eRisk 2018 CEUR Workshop Proceedings (CEUR-WS.org) 2125 null null 20180900 rfj0161560/published_papers/17250279 Fuji Ren Yindong Dong Wei Wang Emotion recognition based on physiological signals using brain asymmetry index and echo state network This paper proposes a method to evaluate the degree of emotion being motivated in continuous music videos based on asymmetry index (AsI). By collecting two groups of electroencephalogram (EEG) signals from 6 channels (Fp1, Fp2, Fz and AF3, AF4, Fz) in the left and right hemispheres, multidimensional directed information is used to measure the mutual information shared between two frontal lobes, and then, we get AsI to estimate the degree of emotional induction. In order to evaluate the effect of AsI processing on physiological emotion recognition, 32-channel EEG signals, 2-channel EEG signals and 2-channel EMG signals are selected for each subject from the DEAP dataset, and different sub-bands are extracted using wavelet packet transform. k-means algorithm is used to cluster the wavelet packet coef cients of each subband, and the probability distribution of the coef cients under each cluster is calculated. Finally, the probability distribution value of each sample is sent as the original features into echo state network for unsupervised intrinsic plasticity training; the reservoir state nodes are selected as the nal feature vector and fed into the support vector machine. The experimental results show that the proposed algorithm can achieve an average recognition rate of 70.5% when the subjects are independent. Compared with the case without AsI, the recognition rate is increased by 8.73%. On the other hand, the ESN is adopted for the original physiological feature re nement which can signi cantly reduce feature dimensions and be more bene cial to the emotion classi cation. Therefore, this study can effectively improve the performance of human machine interface systems based on emotion recognition. 本論文では，アシンメトリー指数(AsI)に基づいた連続的な音楽ビデオの動機づけの程度を評価する方法を提案する．左右半球の6つのチャネルから2つの脳波(EEG)信号群を収集することにより，2つの前頭葉間で共有される相互情報を多次元指向情報で測定し，次に，AsIに感情誘導の程度を推定させる．生理的感情認識へのAsI処理の効果を評価するために，DEAPデータセットから32チャンネルEEG信号，2チャンネルEEG信号，2チャンネルEMG信号を選択し，ウェーブレットを用いて異なるサブバンドを抽出する．各サブバンドのウェーブレットパケット係数をクラスタリングするためにk-meansアルゴリズムを使用し，各クラスタ下の係数の確率分布を計算する．最後に，各サンプルの確率分布値は，監督されていない内因性可塑性訓練のために元の特徴としてエコー状態ネットワークに送られる．実験結果は，被験者が独立している場合，提案アルゴリズムが平均認識率70.5%を達成できることを示している． AsIを用いない場合と比較して，認識率は8.73%向上した．一方，ESNは，元の生理学的特徴のために採用されており，特徴の大きさを著しく減少させることができ，感情の分類に対してより有益である．したがって，感情認識に基づくヒューマンマシンインタフェースシステムの性能を効果的に向上させることができる． Neural Computing & Applications 0941-0643 null null 20180801 10.1007/s00521-018-3664-1 rfj0161560/published_papers/47061253 Yu Gu Tao Liu Jie Li Fuji Ren Zhi Liu Xiaoyan Wang Peng Li EmoSense: Data-driven emotion sensing via off-the-shelf WiFi devices Institute of Electrical and Electronics Engineers Inc. IEEE International Conference on Communications 1550-3607 2018- null null 20180727 10.1109/ICC.2018.8422330 2-s2.0-85051421577 rfj0161560/published_papers/47059793 Xiaohua Wang Muzi Peng Min Hu Chunhua Jin Fuji Ren Combination of valence-sensitive loss with restrictive center loss for facial expression recognition Institute of Electrical and Electronics Engineers Inc. Proceedings - 2018 10th International Conference on Advanced Computational Intelligence, ICACI 2018 528 533 20180608 10.1109/ICACI.2018.8377514 2-s2.0-85049776050 rfj0161560/published_papers/24900456 Yu Gu Yifan Zhang Jie Li Yusheng Ji Xin An Fuji Ren Sleepy: Wireless Channel Data Driven Sleep Monitoring via Commodity WiFi Devices IEEE Transactions on Big Data null null 20180600 10.1109/tbdata.2018.2851201 rfj0161560/published_papers/17250280 Kazuyuki Matsumoto 松本 和幸 Kyosuke Akita 秋田 恭佑 Fuji Ren 任 福継 Minoru Yoshida 吉田 稔 Kenji Kita 北 研二 Intimacy Estimation of the Characters in Drama Scenario 演劇台本における登場人物間の親密度推定手法 Recently, a portable digital device equipped with voice guidance has been widely used, increasing the demand for the usabilityconscious dialogue system. One of the problems with the existing dialogue system is its immature application to non-task-orienteddialogue. Non-task-oriented dialogue requires some scheme that enables smooth and flexible conversations with a user. For example,it would be possible to provide topics related to a person who is familiar with a user or avoid providing topics related to a personwho is not a good friend with the user, by considering relationship with others in real life of the user. In this paper, we focus on thedialogue made by the two characters in a drama scenario, and tried to express their relationship with a scale of intimacy degree.There will be such various elements related to the intimacy degree as the frequency of response to the utterance and the attitude ofa speaker during the dialogue. We focus on the emotional state of the speaker during the utterance and try to realize an intimacyestimation with high accuracy. As the evaluation result, we achieved high accuracy in intimacy estimation than the existing methodbased on speech role. 近年，音声アシスタント機能を搭載した携帯型端末が普及し，より使い手に配慮した対話システムが求められている． 従来型の対話システムの問題点として，雑談のような非タスク型対話への対応が未熟な点があげられる．非タスク型対話 においては，ユーザとの会話を円滑かつ柔軟にするための工夫が必要となる．たとえば，ユーザの現実世界での人間関係 を考慮することによって，ユーザと親しい人物に関する話題の提供を積極的に行ったり，ユーザと親しくない(仲が良く ない)人物に関する話題の提供を避けたりすることができると考える．本論文では，演劇台本を題材に，対話中の2 者間 の人間関係を「親密度」という尺度により表現する．親密度に関わると考えられる要素として，発話の応答回数や発話中 の態度などがある．本論文では，その中でも発話中の感情状態に着目することで，高精度な親密度推定の実現を試みる． 評価実験の結果，発話役割に基づく従来手法を上回る高精度な親密度推定を実現することが出来た． Journal of Japan Society for Fuzzy Theory and Intelligent Informatics 知能と情報 1881-7203 30 3 591 604 20180600 10.3156/jsoft.30.3_591 rfj0161560/published_papers/47063104 Zhao Han Duoqian Miao Fuji Ren Hongyun Zhang Rough Set Knowledge Discovery Based Open Domain Chinese Question Answering Retrieval Science Press Jisuanji Yanjiu yu Fazhan/Computer Research and Development 1000-1239 55 5 958 967 20180501 10.7544/issn1000-1239.2018.20170232 2-s2.0-85053434589 rfj0161560/published_papers/17250281 Fuji Ren Ning Liu Emotion computing using Word Mover's Distance features based on Ren_CECps Public Library of Science PLoS ONE 1932-6203 13 4 1 17 20180401 10.1371/journal.pone.0194136 29624573 2-s2.0-85045046837 rfj0161560/published_papers/29741691 Xiaohua Wang Chen Xia Min Hu Fuji Ren Facial Expression Recognition Based on the Fusion of Spatio-temporal Features in Video Sequences Science Press Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology 1009-5896 40 3 626 632 20180301 10.11999/JEIT170592 2-s2.0-85047991227 rfj0161560/published_papers/27917488 Hiroki Urakami 浦上 浩希 Shun Nishide 西出 俊 Xin Kang 康 鑫 Fuji Ren 任 福継 連続感情空間上の感情状態遷移に基づく人間・ロボット対話システム 情報処理学会全国大会講演論文集 399 400 20180300 rfj0161560/published_papers/27917486 Tadayoshi Yasuda 安田 伊慶 Shun Nishide 西出 俊 Xin Kang 康 鑫 Fuji Ren 任 福継 神経回路モデルを用いたプリミティブの階層的学習 情報処理学会全国大会講演論文集 219 220 20180300 rfj0161560/published_papers/27917484 Yusuki Sugimoto 杉本 祐貴 Fuji Ren 任 福継 Shun Nishide 西出 俊 Xin Kang 康 鑫 心的状態遷移ネットワークに基づく感情会話システムの構築 言語処理学会年次大会 658 661 20180300 rfj0161560/published_papers/27917482 Yuiko Takata 高田 優子 Shun Nishide 西出 俊 Xin Kang 康 鑫 Fuji Ren 任 福継 リカレントニューラルネットワークモデルを用いた図形の描画系列学習 情報処理学会全国大会講演論文集 489 490 20180300 rfj0161560/published_papers/17250283 Xiao Sun Chen Zhang Guoqiang Li Daniel Sun Fuji Ren Albert Zomaya Rajiv Ranjan Detecting users' anomalous emotion using social media for business intelligence Elsevier B.V. Journal of Computational Science 1877-7503 25 193 200 20180301 10.1016/j.jocs.2017.05.029 2-s2.0-85020466556 rfj0161560/published_papers/17250282 Jing Zhang Degen Huang Kaiyu Huang Zhuang Liu Fuji Ren Corpus expansion for neural CWS on microblog-oriented data with λ-active learning approach Corpus Expansion for Neural CWS on Microblog-Oriented Data with λ-Active Learning Approach Institute of Electronics, Information and Communication, Engineers, IEICE IEICE Transactions on Information and Systems 1745-1361 E101D 3 778 785 20180301 10.1587/transinf.2017EDP7239 2-s2.0-85042655131 rfj0161560/published_papers/29736425 Yu Gu Jinhai Zhan Fuji Ren Xiaoyan Wang "Silence is golden": Exploring ambient signals for detecting motions in a real-time manner Institute of Electrical and Electronics Engineers Inc. IEEE Vehicular Technology Conference 1550-2252 2017- 1 5 20180208 10.1109/VTCFall.2017.8288264 2-s2.0-85045244300 rfj0161560/published_papers/29728655 Lishuang Li Xinyu He Jieqiong Zheng Degen Huang Fuji Ren An active transfer learning framework for protein-protein interaction extraction Institute of Electronics, Information and Communication, Engineers, IEICE IEICE Transactions on Information and Systems 1745-1361 E101D 2 504 511 20180201 10.1587/transinf.2017EDP7232 2-s2.0-85041526249 rfj0161560/published_papers/17250284 Fuji Ren 任 福継 About unclear power of artificial intelligence この招待論文において，ビッグデータ・クラウド・深層学習による駆使した人工知能の現状・問題・将来展望を述べた．特に，人工知能の具体的なパワーについて論じた．さらに，人工知能の三つレベルにおける計算知能・感知知能・認知知能について，著者の観点を述べて，このからの人工知能は，理解をメインの挑戦として，推進しなければならない． Communication of Chinese Association for Artificial Inteigence 8 1 6 9 20180120 rfj0161560/published_papers/17250285 Xin Kang Fuji Ren Yunong Wu Exploring latent semantic information for textual emotion recognition in blog articles Institute of Electrical and Electronics Engineers Inc. IEEE/CAA Journal of Automatica Sinica 2329-9274 5 1 204 216 20180101 10.1109/JAS.2017.7510421 2-s2.0-85040160287 rfj0161560/published_papers/17250289 Fuji Ren Yanqiu Li Min Hu Multi-classifier ensemble based on dynamic weights Springer New York LLC Multimedia Tools and Applications 1573-7721 9 2 1 25 20171230 10.1007/s11042-017-5480-5 2-s2.0-85039717419 rfj0161560/published_papers/17250290 Kazuyuki Matsumoto Fuji Ren Minoru Yoshida Kenji Kita Review Score Estimation Based on Transfer Learning of Different Media Review Data We propose a model to classify reviews based on review data from different media sources. Recently, research has been actively conducted on transfer learning between different domains with various kinds of big data as the target. The fact that evaluation expressions often vary in different domains presents a barrier to reputation analysis. Users commonly use various linguistic expressions to refer to creative works, depending on the specific media form.For example, the terms or expressions used in anime to describe creative works within that medium are different from the expressions used in comics, or games or movies. These differences can be considered as features of each individual medium. We should expect, then, that there would be differences in evaluation expressions among the various media, as well. We analyze the effects of such differences on classification accuracy by conducting transfer learning between review data from different media and demonstrate compatibility between the original (pre-transfer) and target (post-transfer) media by constructing a review classification model. As a result of our evaluation experiments, we are able to more accurately estimate review scores without using SO-Scores for training review fragments based on Long Short-Term Memory (LSTM) rather than using a method based on SO-Scores. 本研究では，異なるメディアのレビューデータに基づいたレビュー分類モデルの構築を提案します．現在，多種多様なビッグデータを対象とした異なるドメイン間での転移学習に関する研究が盛んである．異なるドメイン間では，評価表現が異なることが多く，評判分析の障壁となる．異なるメディアにおける著作物に触れているユーザが異なる表現を使用することは多い．たとえば，著作物に関して，「アニメ」や「漫画」，「ゲーム」，「映画」など，異なるメディアにおいては異なる用語や表現が存在する．評価表現以外にもメディアの違いの特徴が表れると考えられる．我々はメディア間でのレビューデータの転移学習をおこなうことで，こうした違いが分類精度にどんな影響を及ぼすかについて分析した．本研究では，著作物の媒体ごとに，転移先と転移元のメディアの相性について，レビューの評価分類モデルを構築することで明らかにした．また，評価実験の結果，Long Short Term Memoryを用いて，レビュー片の学習においてSo-Scoreを用いずに，SO-Scoreに基づく手法よりも正確に評価スコアの推定をおこなえた． International Journal of Advanced Intelligence (IJAI) 1883-3918 9 4 541 555 20171228 rfj0161560/published_papers/27917515 Xin Kang Yunong Wu Fuji Ren TUA1 at the NTCIR-13 Actionable Knowledge Graph Task: Sampling Related Actions from Online Searching Proceedings of the 13th NTCIR Conference on Evaluation of Information Access Technologies 346 353 20171200 rfj0161560/published_papers/27917513 Yunong Wu Xin Kang Kenji Kita Fuji Ren TUA1 at NTCIR-13 Short Text Conversation 2 Task Proceedings of the 13th NTCIR Conference on Evaluation of Information Access Technologies 211 214 20171200 rfj0161560/published_papers/27917510 Yunong Wu Kenji Kita Kazuyuki Matsumoto Xin Kang Fuji Ren Exploring the Relations Between Posts and Comments for Short Text Conversation Proceedings of The 12th International Conference on Natural Language Processing and Knowledge Engineering (NLP-KE17) 228 238 20171200 rfj0161560/published_papers/27917509 Xin Kang Yunong Wu Fuji Ren Mining Actionable Intents to Facilitate Search Engine Users' Actions Proceedings of The 12th International Conference on Natural Language Processing and Knowledge Engineering (NLP-KE17) 343 351 20171200 rfj0161560/published_papers/27917508 Chao Li Xin Kang Fuji Ren Medweb Task: Identify Multi-Symptoms from Tweets Based on Active Learning and Semantic Information Proceedings of the 13th NTCIR Conference on Evaluation of Information Access Technologies 75 80 20171200 rfj0161560/published_papers/27917506 Ruixue Xia Fuji Ren Xin Kang Shun Nishide RESEARCH ON CONSTRUCTION AND ANALYSIS OF JAPANESE-CHINESE EMOTIONAL EXPRESSION CORPUS Proceedings of The 12th International Conference on Natural Language Processing and Knowledge Engineering (NLP-KE17) 216 223 20171200 rfj0161560/published_papers/27917504 Yasuda Tadayoshi Yamashita Maki Shun Nishide Xin Kang Fuji Ren Learning Efficient Drawing Sequence Through Training of Recurrent Neural Network Model Proceedings of The 12th International Conference on Natural Language Processing and Knowledge Engineering (NLP-KE17) 65 76 20171200 rfj0161560/published_papers/27917502 Qian Zhang Fuji Ren Xin Kang Shun Nishide Shibing Zhang Xiaoge Zhang Building Emotional Corpus for Microblogging Emoticons Proceedings of The 12th International Conference on Natural Language Processing and Knowledge Engineering (NLP-KE17) 289 303 20171200 rfj0161560/published_papers/27917500 Qianlu Huang Fuji Ren Xin Kang Shun Nishide Qiang Wang Recognizing facial emotions in the video Proceedings of The 12th International Conference on Natural Language Processing and Knowledge Engineering (NLP-KE17) 316 327 20171200 rfj0161560/published_papers/27917493 Yuming Xu Fuji Ren Xin Kang Shun Nishide Ping Jiang Human Pose Recognition in Robots Based on Angle of Joint Vector Proceedings of The 12th International Conference on Natural Language Processing and Knowledge Engineering (NLP-KE17) 304 315 20171200 rfj0161560/published_papers/27917491 Jie Shen Ziyun Jiao Fuji Ren Xin Kang Shun Nishide Suichun Qu Yi Yang Realization and Improvement of Robot Object Recognition Proceedings of The 12th International Conference on Natural Language Processing and Knowledge Engineering (NLP-KE17) 251 263 20171200 rfj0161560/published_papers/27917490 Mengjia He Xin Kang Fuji Ren TUA1 at the NTCIR-13 OpenLiveQ Task Proceedings of the 13th NTCIR Conference on Evaluation of Information Access Technologies 105 107 20171200 rfj0161560/published_papers/17250292 Yu Gu Jinhai Zhan Yusheng Ji Jie Li Fuji Ren Shangbing Gao MoSense: An RF-Based Motion Detection System via Off-the-Shelf WiFi Devices IEEE INTERNET OF THINGS JOURNAL 2327-4662 4 6 2326 2341 20171200 10.1109/JIOT.2017.2754578 rfj0161560/published_papers/17250291 Xiao Sun Man LV Changqin Quan Fang Tian Fuji Ren Kunxia Wang Fine-Grained Emotion Elements Extraction and Tendency Judgment Based on Mixed Model Nowadays, with the development of internet technology and electronic commerce, the Web storages huge number of product reviews comment by customers. Product reviews tend to be more objective in reflecting the real situation of the product, more and more customers post product reviews at merchant websites in order to make an informed choice. However, a large number of reviews made it difficult to track the comments and suggestions that customers made. In this paper, a fine-grained emotional element detection and emotional tendency judgment method based on conditional random fields (CRFs) and support vector machine (SVM) was proposed. This model introduces semantics and word meaning in CRF model to improve the robustness. In SVM model, deep semantic information imported based on neural network to improve the traditional bag of word model. Experimental results show that the proposed model with deep features efficiently improved the F-Measure. Information Engineering Express 3 4 21 32 20171200 rfj0161560/published_papers/17250288 Minjia Li Lun Xie Zhiliang Wang Fuji Ren Emotion and Cognitive Reappraisal Based on GSR Wearable Sensor Various wearable equipment enables us to measure people behavior by physiological signals. In our research, we present one gal vanic skin reaction (GSR) wearable sensor which can analyze human emotions based on cognition reappraisal. First, We research the factors of emotional state transition in Arousal Valence Stance(AVS) emotional space. Second, the influence of the cognition on emotional state transition is considered, and the reappraisal factor based on Gross regulation theory is established to correct the effectiveness from cognitive reappraisal ability to emotional state transition. Third, based on the previous work, we establish a GSR emotion sensing system for predicting emotional state transition and considering the correlation between GSR signals and emotions. Finally, an overall wearable sensor layout is built. In the experiment part, we invited 30 college students to wear our GSR sensors and watch 14 kinds of affective videos. We recorded their GSR signals while asking them to record their emotional states synchronously. The experiment results show different reappraisal factors can predict subjects&#039;emotional state transition well and indirectly confirm the feasibility of the Gross regulation theory. 様々なウェアラブル機器により，私たちは生理的信号によって人の行動を測定することができる．我々の研究では，認知再評価に基づいて人間の感情を分析することができるガルバニック皮膚反応(GSR)ウェアラブルセンサを提示する．まず，AVS(Arousal Valence Stance)感情空間における感情状態遷移の要因を調べる．第2に，感情状態遷移への認知の影響を考慮し，認知再評価能力から感情状態遷移への有効性を矯正するために総調節理論に基づく再評価因子を確立する．第3に，感情状態遷移を予測し，GSR信号と感情との相関関係を考慮したGSR感情感知システムを構築した．最後に，ウェアラブルなセンサレイアウト全体が構築される．実験の部では，30名の大学生にGSRセンサーを装着させ，14種類の感情的なビデオを観覧した．彼らの感情状態を同期して記録するように求めながら，GSR信号を記録した．実験結果は異なる再評価因子が被験者の感情状態遷移を予測することができることを示しており，間接的に総調節理論の実行可能性を確認した． ZTE Communications 1673-5188 15 S2 18 22 20171200 10.3969/j.issn.1673-5188.2017.S2.003 rfj0161560/published_papers/17250287 Fuji Ren Kazuyuki Matsumoto Emotion Analysis on Social Big Data In this paper, we describe a method of emotion analysis on social big data. Social big data means text data that is emerging on In ternet social networking services.We collect multilingual web corpora and annotated emotion tags to these corpora for the purpose of emotion analysis. Because these data are constructed by manual annotation, their quality is high but their quantity is low. If we create an emotion analysis model based on this corpus with high quality and use the model for the analysis of social big data, we might be able to statistically analyze emotional sensesand behavior of the people in Internet communications, which we could not know before. In this paper, we create an emotion analysis model that integrate the high quality emotion corpus and the automatic constructed corpus that we created in our past studies, and then analyze a large scale corpus consisting of Twitter tweets based on the model. As the result of time series analysis on the large scale corpus and the result of model evaluation, we show the effective ness of our proposed method. 本稿では，社会的ビッグデータに対する感情分析手法について述べる．ソーシャルビッグデータとは，インターネットソーシャルネットワーキングサービスに出現しているテキストデータを意味します．私たちは，感情分析のために，これらのコーパスに多言語Webコーパスと注釈付き感情タグを収集します．これらのデータは手作業による注釈で構成されているため，品質は高いが量は少ない．このコーパスに基づいて高品質の感情分析モデルを作成し，社会的ビッグデータの分析に用いると，以前には知り得なかったインターネット通信における感情的感情や人の行動を統計的に分析することができます．本稿では，過去の研究で作成した高性能感情コーパスと自動構築体を統合し，そのモデルに基づいたTwitterのツイートからなる大規模なコーパスを解析するための感情分析モデルを作成する．大規模尺度コーパスの時間軸解析とモデル評価の結果，提案手法の有効性を示す． ZTE Communications 1673-5188 15 S2 30 37 20171200 10.3969/j.issn.1673-5188.2017.S2.005 rfj0161560/published_papers/17250286 Taihao Li Tuya Naren Jianshe Zhou Fuji Ren Shupeng Liu An Improved K Means Algorithm Based on Initial Clustering Center Optimization The K means algorithm is widely known for its simplicity and fastness in text clustering. However, the selection of the initial clus tering center with the traditional K means algorithm is some random, and therefore, the fluctuations and instability of the cluster ing results are strongly affected by the initial clustering center. This paper proposed an algorithm to select the initial clustering center to eliminate the uncertainty of central point selection. The experiment results show that the improved K means clustering algorithm is superior to the traditional algorithm. K平均アルゴリズムは，テキストクラスタリングの簡潔さと堅牢性で広く知られているが，従来のK平均アルゴリズムを用いた初期クラスター中心の選択はランダムであるため，クラスタリング結果の変動および不安定性は，初期クラスター化の中心に強く影響される． 本論文では，中心点選択の不確実性を解消するために初期クラスタリング中心を選択するアルゴリズムを提案した． 実験結果は，改善されたK平均クラスタリングアルゴリズムが従来のアルゴリズムより優れていることを示している． ZTE Communications 1673-5188 15 S2 43 46 20171200 10.3969/j.issn.1673-5188.2017.S2.007 rfj0161560/published_papers/29726252 Yu Gu Jianwen Tian Liwen Zhang Zhi Liu Fuji Ren Xiaoyan Wang Activity Recognition via Channel Response: From Theoretical Analysis to Real-World Experiments Institute of Electrical and Electronics Engineers Inc. IEEE Vehicular Technology Conference 1550-2252 2017- null null 20171114 10.1109/VTCSpring.2017.8108185 2-s2.0-85040554059 rfj0161560/published_papers/17250294 Xiao Sun Xiaoqi Peng Min Hu Fuji Ren Extended Multi-modality Features and Deep Learning Based Microblog Short Text Sentiment Analysis Science Press Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology 1009-5896 39 9 2048 2055 20170901 10.11999/JEIT160975 2-s2.0-85032935044 rfj0161560/published_papers/17250293 Yunong Wu Kenji Kita Kazuyuki Matsumoto XIN KANG Fuji Ren Constructing A Short Text Conversation system Based on the Relations Between Posts and Comments International Journal of Advanced Intelligence (IJAI) 1883-3918 9 3 369 380 20170900 rfj0161560/published_papers/29720874 Xiao Sun Xiaoqi Peng Fuji Ren Yun Xue Human-Machine Conversation Based on Hybrid Neural Network Institute of Electrical and Electronics Engineers Inc. Proceedings - 2017 IEEE International Conference on Computational Science and Engineering and IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, CSE and EUC 2017 1 260 266 20170808 10.1109/CSE-EUC.2017.54 2-s2.0-85034624199 rfj0161560/published_papers/29708239 Fenfen Chen Lujia Wang Jue Lu Fuji Ren Yang Wang Xi Zhang Chengzhong Xu A smart cloud robotic system based on cloud computing services Institute of Electrical and Electronics Engineers Inc. Proceedings - 2016 7th International Conference on Cloud Computing and Big Data, CCBD 2016 316 321 20170713 10.1109/CCBD.2016.069 2-s2.0-85027443037 rfj0161560/published_papers/17250297 Changqin Quan Bin Zhang Xiao Sun Fuji Ren A combined cepstral distance method for emotional speech recognition INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS 1729-8814 14 4 1 9 20170700 10.1177/1729881417719836 rfj0161560/published_papers/17250296 Jun Liu Jin Li Wei Wang Fuji Ren 任 福継 A Stacking Scheme Using Adjacent Redundancy Across Dies for 3D-stacked Memory Microelectronics & Computer 34 7 1 6 20170700 rfj0161560/published_papers/17250295 Heng Zhang Shupeng Liu Xiangfei Yang Na Chen Fufei Pang Zhenyi Chen Tingyun Wang Jianshe Zhou Fuji Ren Xiaoyin Xu Taihao Li LED Phototherapy With Gelatin Sponge Promotes Wound Healing in Mice Tiny but highly efficient, a light emitting diode (LED) can power a therapy device, such as a phototherapy device, and, at the same time, decrease the device&#039;s size requirements. In this study, a LED phototherapy device was designed to investigate the possible impact on wound healing using a mouse model and a cell line exposed to red and blue light. To enhance wound phototherapy, a gelatin sponge was fabricated. Results showed that the red and blue lights promoted cell growth and wound healing, while the blue light with a gelatin sponge protected the wound from infection in the early stages of wound healing. The LED phototherapy device combined with the gelatin sponge, therefore, has potential significance in clinical application for wound healing. Photochemistry and Photobiology 1751-1097 null null 20170700 10.1111/php.12816 rfj0161560/published_papers/29714947 Yu Gu Min Peng Fuji Ren Jie Li WiFi fingerprint localization for emergency response: Harvesting environmental dynamics for a rapid setup IGI Global Smart Technologies for Emergency Response and Disaster Management 86 105 20170619 10.4018/978-1-5225-2575-2.ch003 2-s2.0-85031681348 rfj0161560/published_papers/29705344 Shuda Xing Yang Cao Fuji Ren Numerical simulation of VAWT on the effects of rotation cylinder Institute of Physics Publishing IOP Conference Series: Materials Science and Engineering 1757-899X 207 1 null null 20170615 10.1088/1757-899X/207/1/012085 2-s2.0-85023158656 rfj0161560/published_papers/17250299 Hiroki Urakami Shun Nishide Fuji Ren Towards a Developmental Human-Robot Interaction System Using Robot Facial Expressions From Human Feedback Creation of a developmental structure for a human-robot interaction model is essential for practical human robot interaction. We speci cally focus on creating a developmental system of the robot&#039;s facial expression based on spoken dialogue of the robot. A humanoid robot Actroid is used to create smooth facial expressions. In the proposed method, we rst create a xed dialogue system with a prede ned facial expression related to each of the robot&#039;s dialogue. During communication with a human subject, a feedback (judging if the robot&#039;s facial expression was natural or not) is given by the human after the robot&#039;s utterance. The facial expression related with the dialogue is changed randomly to a di erent facial expression if the human&#039;s feedback denote the robot&#039;s expression as unnatural. We constructed the feedback using two types of methods: button pressing and auditory. The actual experiments show that the robot is capable of acquiring natural facial expressions after several communication trials with the human subject. International Journal of Advanced Intelligence (IJAI) 1883-3918 9 2 127 136 20170600 rfj0161560/published_papers/27983749 Xiao Sun Fuji Ren Jiaqi Ye Trends Detection of Flu Based on Ensemble Models With Emotional Factors From Social Networks IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING 1931-4981 12 3 388 396 20170500 10.1002/tee.22389 rfj0161560/published_papers/27917495 Yoshie Setsu Xin Kang Shun Nishide Fuji Ren Extraction emotion from spoken language based on the language information The 31st Annual Conference of the Japanese Society for Artificial Intelligence 0 0 1 2 20170500 rfj0161560/published_papers/17250307 Xiao Sun Fuji Ren Jiaqi Ye Trends detection of flu based on ensemble models with emotional factors from social networks John Wiley and Sons Inc. IEEJ Transactions on Electrical and Electronic Engineering 1931-4981 12 3 388 396 20170501 10.1002/tee.22389 2-s2.0-85007311929 rfj0161560/published_papers/17250300 Kazuyuki Matsumoto Satoshi Tanaka Minoru Yoshida Kenji Kita Fuji Ren Ego-state Estimation from Short Texts Based on Sentence Distributed Representation Human personality multilaterally consists of complex elements. Egogram is a method to classify personalities into the patterns according to the combinations of the five levels of ego-states. With recent development of Social Networking Service (SNS), more researches have been trying to judge personality from the statements on SNS. However, there are several problems in the personality judgment based on the superficial information of the statements. Concretely, personality is not always reflected on every statement and the tendency of the statements with influence of personality changes with the times. It is also important to collect sufficient amount of statement data including the results of personality judgment. In this paper, to realize automatic egogram judgement, we focused on the short texts on the SNS, especially microblogs, and represented the comments on Twitter by distributed representation (sentence vector) in the pre-training. Then, we tried to create a model to estimate ego-state level of each user by using a deep neural network. The experimental result showed that our proposed method estimated ego-state with higher accuracy than the baseline method based on bag of words. To investigate the change of personality according to time, we also analyzed how the match rates of the estimation results changed before/after the egogram judgment. Moreover, we confirmed that the personality pattern classification was improved by adding a feature expressing the formal degree of the sentence. 人間の性格は，複雑な要素が組み合わさって，多面的に構成される．性格診断手法としてのエゴグラムは，5つの自我状態の高低の組み合わせに基づき，性格をパターン分類するものである．近年のSNSの発達にともなって，性格をSNS上の発言から診断しようという試みが増えてきた．しかし，発言の表層情報を手掛かりとした性格診断は，自我状態を推定するうえでいくつかの問題を抱える．具体的には，性格がすべての発言に反映されているわけではないこと，また，個人の性格に起因する発言の傾向は時間とともに変化していくものであるということなどがあげられる．また，十分な量の性格診断結果を伴う発言の事例を収集することも重要となる．本研究では，SNS，とくにMicroblog 上の発言(ショートテキスト)をもとに，エゴグラム診断を自動化するために，Twitter 上の発言を事前学習において分散表現(文ベクトル)により表し，Deep Neural Network による機械学習を用いて，ユーザごとに自我状態のレベルを推定するモデルの構築を試みる．評価実験の結果，提案手法による自我状態推定モデルは，Bag of Words を素性としたベースライン手法よりも高精度%であることを示した．また，時間経過による性格変化を調べるため，エゴグラム診断の前後において，推定結果の一致率にどのような変化が起きているかを分析した．さらに本論文では，文のフォーマル度合いを特徴づける素性を追加することで性格パターン分類の精度向上を確認した． International Journal of Advanced Intelligence (IJAI) 1883-3918 9 2 145 161 20170500 rfj0161560/published_papers/17250301 Xiao Sun Fei Gao Fuji Ren 任 福継 Mining the Impact of Social News on the Emotions of Users Based on Deep Model Journal of Chinese Information Processing 31 3 184 190 20170322 rfj0161560/published_papers/28017642 Zhong Huang Fuji Ren Facial Expression Recognition Based on Multi-Regional D-S Evidences Theory Fusion IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING 1931-4981 12 2 251 261 20170300 10.1002/tee.22372 rfj0161560/published_papers/26867404 Fuji Ren Kazuyuki Matsumoto Natural Language Processing Capabilities Required for Humanoid Nursing Robot Fukuro Shuppan Publishing null null 20170300 rfj0161560/published_papers/17250312 Zhong Huang Fuji Ren Facial expression recognition based on multi-regional D–S evidences theory fusion John Wiley and Sons Inc. IEEJ Transactions on Electrical and Electronic Engineering 1931-4981 12 2 251 261 20170301 10.1002/tee.22372 2-s2.0-85008259069 rfj0161560/published_papers/17250308 Yiming Tang Fuji Ren Fuzzy Systems Based on Universal Triple I Method and Their Response Functions INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING 1793-6845 16 2 443 471 20170300 10.1142/S0219622014500746 rfj0161560/published_papers/17250306 XIN KANG Yunong Wu Fuji Ren Disambiguating Users' Temporal Intent in Search Queries with Deep Neural Networks International Journal of Advanced Intelligence (IJAI) 1883-3918 9 1 11 28 20170300 rfj0161560/published_papers/17250305 Jiawen Deng Mingyu Huang Fuji Ren Text Classification Based on Word Co-occurrence with Background knowledge This article proposes a data treatment strategy to generate a new text representation model with discriminative feature for the sake of text classification. This feature is determined by word co-occurrence information, and is extracted by measuring the cosine similarity between word co-occurrence vectors of testing documents and background knowledge in Chinese language. The background knowledge is composed by the word co-occurrence matrix of all words in background corpus based on top n keywords in each category which selected by TFIDF value. This strategy is to get discriminative features to reduce the ambiguity and noise inherent of the traditional representation model. In the experiments, using a linear SVM classifier, we investigate the effects of the proposed method with two Chinese classification corpora, and two background corpora are used as background knowledge. Results show that, compared with conventional method, the proposed strategy performs better in the values of precision, recall and F1 score. 本論文では，テキスト分類のために差別的な特徴を持つ新しいテキスト表現モデルを生成するためのデータ処理戦略を提案する．この特徴は，単語共起情報によって決定され，テスト文書の単語共起ベクトルと中国語の背景知識とのコサイン類似度を測定することによって抽出される．背景知識は，TFIDF値によって選択された各カテゴリの上位n個のキーワードに基づいて，背景コーパス内のすべての単語の単語共起行列によって構成される．この戦略は，伝統的な表現モデルに内在するあいまい性とノイズを減らすために差別的な特徴を得ることができる．実験では，線形SVM分類器を用いて，2つの中国分類コーパスを用いて提案された方法の効果を調べたが，従来の方法と比較して，提案された手法が，精度，リコールおよびF1スコアの値においてより良好な結果が得られたことを示した． International Journal of Advanced Intelligence (IJAI) 1883-3918 9 1 29 42 20170300 rfj0161560/published_papers/17250304 Shun Nishide Hidenobu Shibasaki XIN KANG Fuji Ren Generation of Humanlike Facial Expression for Natural Human-Robot Interaction System Recognition and expression of emotions are indispensible functions for robots intended to play a role in the human society. Among various modalities, facial expression is said to be one of the most important factors for represent emotions. In this paper, we present our work on creating humanlike facial expressions for the humanoid robot Actroid, and adapting it to actual human-robot interaction scenario. Facial expressions were created manually using the software Wten source code, by adjusting parameters of facial features. The created expressions were implemented in a xed dialogue between a human and robot. Experiments were conducted with human subjects talking with the robot. Evaluations were done using questionaires on naturalness and e ectiveness of facial expressions during the dialogue. International Journal of Advanced Intelligence (IJAI) 1883-3918 9 1 77 65 20170300 rfj0161560/published_papers/17250303 Min Hu Yaona Zheng Xiaoyin Huang Fuji Ren FacialExpressionRecognitionBasedonMonogenicMulti-featureandFused SparseRepresentation In the eld of facial expression recognition, in order to make up for insuf cient information of monogenic magnitude and orientation which is extracted by monogenic binary pattern, and enhance robustnessofsparseclassi erforfacialexpressionclassi cation,afacialexpressionrecognitionmethodbased on monogenic multi-feature and fused sparse representation is proposed in this paper. First of all, the preprocessed images of facial expression are ltered by the monogenic signal with the purpose of acquiringtheinformationofmonogenicmagnitude,orientation,andphase.Secondly,wefusemagnitude, orientation and phase information with the method of monogenic binary pattern, monogenic oriented gradient, and enhanced monogenic phase respectively, to form different expression features and construct the corresponding classi ers. Finally facial expression recognition is completed by using the regularized least-square theory to optimize the weight of double classi er. Experiments are performed on JAFFE and Cohn-Kanade facial expression databases and the average rates reach up to 97.30% and 99.33% respectively. The results of experiments show that the proposed method effectively improves the recognition ef ciency of facial expression. International Journal of Advanced Intelligence (IJAI) 1883-3918 9 1 111 126 20170300 rfj0161560/published_papers/17250302 Xun Feng Hongjun Ni Fuji Ren Voice conversion based on RBF neural network Recently, voice conversion has becoming the research hotspot, because of its widely application areas. However, the voice conversion technology is still immature. By the researching of existing voice conversion models, the voice conversion system based on the RBF neutral network was designed, and the system simulation was implemented. During conversion, the unvoiced speech was excluded and the voiced speech was reserved. The LPC was the extracted from the source and target speech, then convert the LPC to LSP. The LPS was trained by RBF neural network after time-aligned. Obtained mapping function was used to convert the source LSP to target LSP, and synthesis the speech. Finally, the converted speech evaluated by ABX and MOS to test the tendency and quality of the speech. International Journal of Advanced Intelligence (IJAI) 1883-3918 9 2 163 173 20170300 rfj0161560/published_papers/17250310 Min Hu Zixi Yu Xiaohua Wang Fuji Ren 任 福継 Lei He G-LBP and Variance Cross Projection Function for Face Recognition 顔認識のためのG-LBPと分散クロスプロジェクション機能 In order to enhance robustness of traditional Gabor features towards illumination, expression and pose variance and overcome its high dimension problem, the paper proposes a face recognition method based on Gabor, local binary patter and variance projection entropy improved algorithm. First, the multi direction multi-scale fusion Gabor image is coded with LBP, and the coded image fused and the histograms of image block calculated. Second, a local projection entropy feature extraction is adopted for face images with anti-geometric distortion variance projection entropy and cross variance projection entropy operator. Finally, the face recognition is completed by using BP neutral network to fuse and make decision weightily. The G-LBP feature extraction reduces the redundancy of data greatly, and maintains the integrity of the effective information. Variance projection of entropy and cross entropy improves the richness of the feature. The weighted fusion in decision-making layer plays an important role of integration between the classifiers and improves the recognition rate of face recognition. Compared with other literature algorithms, experiment results verify the effectiveness and superiority of the proposed algorithm. 従来のGabor特徴の照度，表現，ポーズ分散に対する頑健性を高め，その高次元問題を克服するために，Gaborの局所バイナリパターンと分散投影エントロピー改良アルゴリズムに基づく顔認識手法を提案する．まず，多方向マルチスケール融合ガボール画像をLBPでコード化し，コード化画像を融合し，画像ブロックのヒストグラムを計算する．第2に，局所的投影エントロピー特徴抽出は，反幾何歪み分散投影エントロピー及び交差分散投影エントロピー演算子を有する顔画像に対して採用される．最後に，BPニュートラルネットワークを使用して顔認識を行う． G-LBP特徴抽出は，データの冗長性を大幅に低減し，有効情報の完全性を維持する．エントロピーとクロスエントロピーの分散投影は，特徴の豊かさを改善する．意思決定層における重み付けされた融合は，分類器間の統合の重要な役割を果たし，顔認識の認識率を改善する．他の文献アルゴリズムと比較する実験結果は，提案されたアルゴリズムの有効性と優位性を検証した． Journal of Graphics 38 1 82 89 20170200 rfj0161560/published_papers/17250309 Xiaohua Wang Dengyong Hou Min Hu Fuji Ren 任 福継 Dual-modality emotion recognition based on composite spatio-temporal features 複合時空間特徴に基づくデュアルモダリティ感情認識 Objective In view of existing algorithms, volume local binary pattern is applied to the feature extraction of video frames. However, problems such as large feature dimension, weak robustness to illumination, and noise exist. This study proposes a new feature description algorithm, which is temporal-spatial local ternary pattern moment. This algorithm introduces three value patterns, and it is extended to the temporal-spatial series to describe the variety of pixel values among adjacent frames. The value of texture feature is represented by the energy values of the three value model matrixes, which are calculated according to the gray-level co-occurrence matrix. Considering that the temporal-spatial local ternary pattern moment only describes the texture feature, it lacks the expression of image edge and direction information. Therefore, it cannot fully describe the characteristics of emotional videos. The feature of 3D histograms of oriented gradients is further fused to enhance the description of the emotion feature. Composite spatio-temporal features are obtained by combining two different features. Method First, the emotional videos are preprocessed, and five frame images are obtained by K mean clustering, which are used as the expression and body posture emotion sequences. Second, TSLTPM and 3DHOG features are extracted from the expression and gesture emotion sequences, and the minimum Euclidean distance of the feature between the test sequence and labeled emotion training set is calculated. The calculated value is used as independent evidence to construct the basic probability assignment function. Finally, according to the rules of D-S evidence theory, the expression recognition result is obtained by fused BPA. Result Experimental results on the bimodal expression and body posture emotion database show that complex spatio-temporal features exhibit good recognition performance. The average recognition rates of 83.06% and 94.78% are obtained in the single model identification of facial expressions and gestures, respectively, compared with other algorithms. The average recognition rate of the single-expression model is 9.27%, 12.89%, 1.87%, and 1.13% higher than those of VLBP, LBP-TOP, TSLTPM, and 3DHOG, respectively. The average recognition rate of the single-gesture model is 24.61%, 27.55%, 1.18%, and 0.98% higher than those of VLBP, LBP-TOP, TSLTPM, and 3DHOG, respectively. The average recognition rate after the fusion of these two models is 96.86%, which is higher than the rate obtained by a single model. This result confirms the effectiveness of emotion recognition under the fusion of expression and gesture. Conclusion The TSLTPM feature proposed in our paper extends the VLBP, which is effective in describing the local features of video images, into the temporal-spatial local ternary pattern. The proposed feature has low dimensionality, and it can enhance the robustness to illumination and noise. The composite spatio-temporal features fused with 3DHOG and TSLTPM can fully describe the effective information of emotional videos, and it enhances the classification performance of such videos. The effectiveness of the proposed algorithm in comparison with other typical feature extraction algorithms is also demonstrated. The proposed algorithm is proven suitable for identifying the emotion of static background videos, and the superiority of the fusion method in this study is verified. 本論文では，時空間局所3値パターンモーメントである新しい特徴記述アルゴリズムを提案する．このアルゴリズムは，3つの値パターンを導入し，隣接するフレーム間のピクセル値の多様性を記述するために時間 - 空間シリーズに拡張されている．テクスチャ特徴の値は，3値モデル行列のエネルギー値によって表され，それらは，グレイレベル共起行列に従って計算される．時間 - 空間的局所3値パターンモーメントがテクスチャ特徴を記述するだけであることを考慮すると，それは画像のエッジ及び方向情報の表現を欠いている．複合時空間特徴は，2つの異なる特徴を組み合わせることによって得られる．まず，感情映像を前処理し，K平均クラスタリングによって5つのフレーム画像を取得し，それらを表情および身体姿勢の感情シーケンスとして使用する．第2に，表情とジェスチャー感情シーケンスからTSLTPMと3DHOG特徴を抽出し，テストシーケンスとラベル付き感情訓練セット間の特徴の最小ユークリッド距離を計算する．計算された値は，基本的な確率割り当て関数を構築するための独立した証拠として使用されます．最後に，D-S証拠理論の規則に従って，発現認識結果は溶融BPAによって得られる．結果バイモーダル表現と身体姿勢感情データベースの実験結果は，複雑な時空間特徴が良好な認識性能を示すことを示している． Journal of Image and Graphics 22 1 39 48 20170200 10.11834/jig.20170105 rfj0161560/published_papers/29699519 Yang Wang Shuibing He Fuji Ren Lujia Wang Chengzhong Xu On autonomous service migrations in the cloud for mobile accesses IEEE Computer Society Proceedings of the International Conference on Parallel and Distributed Systems - ICPADS 1521-9097 753 760 20170118 10.1109/ICPADS.2016.0103 2-s2.0-85018516195 rfj0161560/published_papers/29705322 Zhao Han Duoqian Miao Fuji Ren Hongyun Zhang Discernibility matrix and rules acquisition based chinese question answering system Springer Verlag Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 1611-3349 10313 239 248 20170000 10.1007/978-3-319-60837-2_20 2-s2.0-85022336430 rfj0161560/published_papers/28369586 Xiao Sun Chongyuan Sun Changqin Quan Fuji Ren Fang Tian Kunxia Wang Fine-Grained Emotion Analysis Based on Mixed Model for Product Review INTERNATIONAL JOURNAL OF NETWORKED AND DISTRIBUTED COMPUTING 2211-7946 5 1 1 11 20170100 rfj0161560/published_papers/28369585 Xiao Sun Man Lv Changqin Quan Fuji Ren Improved Facial Expression Recognition Method Based on ROI Deep Convolutional Neutral Network 2017 SEVENTH INTERNATIONAL CONFERENCE ON AFFECTIVE COMPUTING AND INTELLIGENT INTERACTION (ACII) 2156-8103 256 261 20170000 rfj0161560/published_papers/26867402 Kazuyuki Matsumoto Fuji Ren Minoru Yoshida Kenji Kita Refinement by Filtering Translation Candidates and Similarity Based Approach to Expand Emotion Tagged Corpus We attempted to expand corpus without translating target linguistic resource. The result of the evaluation experiment using the machine learning algorithm showed the effectiveness of the expanded emotion corpus based on the original languages unannotated sentences and their similar sentences. Communications in Computer and Information Science 260 280 20170100 10.1007/978-3-319-52758-1_15 rfj0161560/published_papers/17250311 Xiao Sun Chongyuan Sun Changqin Quan Fuji Ren Fang Tian Kunxia Wang Fine-Grained Emotion Analysis Based on Mixed Model for Product Review Nowadays, with the rapid development of B2C e-commerce and the popularity of online shopping, the Web storages huge number of product reviews comment by customers. A large number of reviews made it difficult for manufacturers or potential customers to track the comments and suggestions that customers made. This paper presents a method for extracting emotional elements containing emotional objects and emotional words and their tendencies from product reviews based on mixed model. First we constructed conditional random fields to extract emotional elements, lead-in semantic and word meaning as features to improve the robustness of feature template and used rules for hierarchical filtering errors. Then we constructed support vector machine to classify the emotional tendency of the fine-grained elements to achieve key information from product reviews. Deep semantic information imported based on neural network to improve the traditional bag of word model. Experimental results show that the proposed model with deep features efficiently improved the F-Measure. B2C電子商取引の急速な発展とオンラインショッピングの普及に伴い，Webは顧客による膨大な数の製品レビューコメントを保存している．多数のレビューでは，製造者または潜在的な顧客が作成したコメントおよび提案を追跡することが困難になった．本論文では，混合モデルに基づく感情オブジェクトと感情語を含む感情要素と商品レビューの傾向を抽出する方法を提案する．まず，特徴テンプレートの頑健性を向上させるための特徴として，感情的要素，リードインセマンティックおよび単語の意味を抽出する条件付きランダムフィールドを構築し，階層的フィルタリングエラーのルールを使用した．次に，サポートベクトルマシンを構築し，ファイングレイン要素の感情的な傾向を分類し，製品のレビューから重要な情報を得た． International Journal of Networked and Distributed Computing 2211-7946 5 1 1 11 20170100 10.2991/ijndc.2017.5.1.1 rfj0161560/published_papers/17250298 Fuji Ren Lei Wang Sentiment analysis of text based on three-way decisions JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 1875-8967 33 1 245 254 20170000 10.3233/JIFS-161522 rfj0161560/published_papers/17250317 Fuji Ren Zhong Huang Automatic Facial Expression Learning Method Based on Humanoid Robot XIN-REN IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS 2168-2305 46 6 810 821 20161200 10.1109/THMS.2016.2599495 rfj0161560/published_papers/17250316 Fuji Ren Xiao Sun Current Situation and Development of Intelligence Robots Industrial intelligent robots are treated as a measure of na tionalscientificlevelandtechnologyinnovation,andalsothe important symbol of high level manufacturing, while service intelligent robots can directly affect people&#039;s daily lives. The development of artificial robots in different areas is at tracting much attention around the world. This article re views the current situation and development of Chinese and internationalintelligentrobotmarketsincludingindustrialro botsandservicerobots.Theintelligentrobottechnologyand theclassificationofrobotsarealsodiscussed.Finally,appli cations of intelligent robots in various fields are concluded andthedevelopmenttrendsandoutlookofintelligentrobots areexplored. 産業用インテリジェントロボットは，高レベル製造の重要な象徴であり，サービスインテリジェントロボットは人々の日常生活に直接影響を及ぼすことができる．これは技術革新と技術革新の尺度としても扱われている． 異なる分野の人工ロボットの開発は，世界中で注目を集めている． 本稿では，産業ロボットと産業ロボットを含むインテリジェントロボット市場の現状と発展状況を調査し研究する．インテリジェントロボット技術とロボットの分類を議論する．最後に，様々な分野のインテリジェントロボットの応用が結論づけられ，発展と知的ロボットの将来を展望する． ZTE 14 S1 25 34 20161200 10.3969/j.issn.16735188.2016.S1.005 rfj0161560/published_papers/17250315 Xiaohua Wang Dengyong Hou Min Hu Fuji Ren Jiayong Wang Dual-modality emotion recognition model based on temporal-spatial LBP moment and Dempster-Shafer evidence fusion Chinese Academy of Sciences Guangdian Gongcheng/Opto-Electronic Engineering 1003-501X 43 12 154 161 20161201 10.3969/j.issn.1003-501X.2016.12.024 2-s2.0-85007228189 rfj0161560/published_papers/17250314 Chao Li Fuji Ren XIN KANG Selectional Preferences Based on Distributional Semantic Model In this paper, we propose a approach based on distributional semantic model to the selectional preference in the verb &amp; dobj (direct object) relationship. The distributional representations of words are employed as the semantic feature by using theWord2Vec algorithm. The machine learning method is used to build the discrimination model. Experimental results show that the proposed approach is effective to discriminate the compatibility of the object words and the performance could be improved by increasing the number of training data. By comparing the previous method, the proposed method obtain the promising results with obvious improvement. Moreover, the results demonstrate that the semantics is an universal, effective and stable feature in this task, which is consistent with our awareness of using words. WSEAS Transactions on Computers 1109-2750 15 258 264 20161200 rfj0161560/published_papers/17250313 Xiaohua Wang Xinyue Liu Lingyun Li Fuming Zhang Min Hu Fuji Ren Lianli Chi Robert J. Linhardt GlycCompSoft: Software for Automated Comparison of Low Molecular Weight Heparins Using Top-Down LC/MS Data PLoS One 1932-6203 11 12 null null 20161200 10.1371/journal.pone.0167727 27942011 rfj0161560/published_papers/28165875 Xin Kang Fuji Ren Yunong Wu Semisupervised learning of author-specific emotions in micro-blogs IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING 1931-4981 11 6 768 775 20161100 10.1002/tee.22302 rfj0161560/published_papers/17250346 Xin Kang Fuji Ren Yunong Wu Semisupervised learning of author-specific emotions in micro-blogs John Wiley and Sons Inc. IEEJ Transactions on Electrical and Electronic Engineering 1931-4981 11 6 768 775 20161101 10.1002/tee.22302 2-s2.0-84984685490 rfj0161560/published_papers/17250321 Xiaohua Wang Ruijing Li Min Hu Fuji Ren 任 福継 Occluded facial expression recognition based on the fusion of local features To reduce the effect of partial occlusion in facial expression recognition, this paper proposes a new method of facial expression recognition based on local feature fusion. Method First, the normalized images are processed by the Gaussian filter to reduce the effect of noise. According to their different contributions in facial expression recognition, all the images are then divided into two main parts: near the eye and near the mouth. To analyze considerable structure detail, these two parts are further divided into several non-overlapping blocks. The following two patterns are used to extract the features of each sub block: the difference center-symmetric local binary pattern, which is the change of center-symmetric local binary pattern; and the gradient center-symmetric local directional pattern, which is the change of difference local directional pattern. The features are marked as two binary sequences, which are then cascaded to obtain the characteristic histogram of the sub block. The final histogram of the image is obtained by cascading the histogram of each sub block. Finally, the nearest neighbor method is used for classification. Chi-square distance is used to calculate the distance among the characteristic histograms of the testing and training images. Considering the difference of the amount of information contained in each sub block and to reduce the effect of occlusion further, information entropy is used to weigh chi-square distance adaptively. Result Three cross experiments are conducted on JAFFE and CK databases. The average recognition accuracies in random occlusion, mouth occlusion, and eye occlusion cases are 92.86%, 94.76%, and 86.19% on JAFFE database, and are 99%, 98.67%, and 99% on CK database. Conclusion In the aspect of feature extraction, our method describes the image from two aspects: one is the difference of the pixel values in the gradient direction, and the other is the difference of the edge response values between gradient directions. Accordingly, the image can be fully described. In the aspect of occlusion, image segmentation and information entropy are used to weigh chi-square distance adaptively. Thus, our method can effectively reduce the effect of occlusion. Under the same experimental conditions, experimental results show the effectiveness and superiority of the proposed method to other classical local feature extraction and occlusion handling methods. Journal of Image and Graphics 21 11 1473 1482 20161100 10.11834/jig.20161107 rfj0161560/published_papers/17250320 Xiao Sun Jiajin He Fuji Ren 任 福継 Ironically linguistic judgement based on hybrid neural network model via multi-feature fusion Journal of Chinese Information Processing 30 6 37 45 20161100 rfj0161560/published_papers/17250319 Xiao Sun Chongyuan Sun Fuji Ren Biomedical named entity recognition based on deep conditional random fields Journal of Pattern Recognition and Artificial Intelligence Moshi Shibie yu Rengong Zhineng/Pattern Recognition and Artificial Intelligence 1003-6059 29 11 997 1008 20161101 10.16451/j.cnki.issn1003-6059.201611005 2-s2.0-85006482121 rfj0161560/published_papers/17250335 Xiao Sun Jiaqi Ye Fuji Ren Detecting, influenza states based on hybrid model with personal emotional factors from social networks NEUROCOMPUTING 1872-8286 210 257 268 20161000 10.1016/j.neucom.2016.01.107 rfj0161560/published_papers/17250325 Xiao Sun Chengcheng Li Fuji Ren Sentiment analysis for Chinese microblog based on deep neural networks with convolutional extension features NEUROCOMPUTING 1872-8286 210 227 236 20161000 10.1016/j.neucom.2016.02.077 rfj0161560/published_papers/17250324 Jun Liu Tangya Wang Fuji Ren 任 福継 Bad-Die Recycling Technique for Yield Enhancement of Three-Dimensional Memories Microelectronics & Computer 33 10 7 12 20161000 10.19304/j.cnki.issn1000-7180.2016.10.002 rfj0161560/published_papers/17250323 Wei Wang Xia Zhu Fang Fang Zhenlu Qin Erhui Guo Fuji Ren 任 福継 Optimal design of 3D chip scan chains based on cores-hierarchical-placement Journal of Electronic Measurement and Instrumentation 30 10 1482 1489 20161000 10.13382/j.jemi.2016.10.005 rfj0161560/published_papers/17250322 Yu Gu Fuji Ren Jie Li PAWS: Passive Human Activity Recognition Based on WiFi Ambient Signals IEEE INTERNET OF THINGS JOURNAL 2327-4662 3 5 796 805 20161000 10.1109/JIOT.2015.2511805 rfj0161560/published_papers/17250326 Yu Gu Lianghu Quan Fuji Ren AAH: accurate activity recognition of human beings using WiFi signals John Wiley and Sons Ltd Concurrency Computation 1532-0634 28 14 3910 3926 20160925 10.1002/cpe.3741 2-s2.0-84983120485 rfj0161560/published_papers/29682757 Yu Gu Lianghu Quan Fuji Ren Jie Li Optimal parameter setting for indoor localization via big data analysis Institute of Electrical and Electronics Engineers Inc. Proceedings - IEEE INFOCOM 0743-166X 2016- 560 565 20160906 10.1109/INFCOMW.2016.7562139 2-s2.0-84988888898 rfj0161560/published_papers/28182850 Fuji Ren Xin Kang Changqin Quan Examining Accumulated Emotional Traits in Suicide Blogs With an Emotion Topic Model IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS 2168-2194 20 5 null null 20160900 10.1109/JBHI.2015.2459683 rfj0161560/published_papers/28134299 Yu Gu Lianghu Quan Fuji Ren AAH: accurate activity recognition of human beings using WiFi signals CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE 1532-0634 28 14 3910 3926 20160900 10.1002/cpe.3741 rfj0161560/published_papers/17250328 Yiming Tang Fuji Ren Variable Differently Implicational Inference for R- and S-Implications INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING 1793-6845 15 5 1235 1264 20160900 10.1142/S0219622016500334 rfj0161560/published_papers/17250327 Fuji Ren 任 福継 Yanqiu Li Min Hu Liangfeng Xu Face Recognition Method Based on Multi Features Description and Local Fusion Classification Decision Opto-Electronic Engineering 43 9 82 89 20160900 10.3969/j.issn.1003-501X.2016.09.015 rfj0161560/published_papers/28181098 Fuji Ren Chao Li Hybrid Chinese Text Classification Approach Using General Knowledge from Baidu Baike IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING 1931-4981 11 4 488 498 20160700 10.1002/tee.22266 rfj0161560/published_papers/17250334 Fuji Ren Chao Li Hybrid Chinese text classification approach using general knowledge from Baidu Baike John Wiley and Sons Inc. IEEJ Transactions on Electrical and Electronic Engineering 1931-4981 11 4 488 498 20160701 10.1002/tee.22266 2-s2.0-84969942263 rfj0161560/published_papers/27917516 Xin Kang Yunong Wu Fuji Ren KGO at the NTCIR-12 Temporalia Task: Exploring Temporal Information in Search Queries Proceedings of the 12th NTCIR Conference on Evaluation of Information Access Technologies 247 252 20160600 rfj0161560/published_papers/27917497 Ning Liu Mengjia He Chao Li Xin Kang Fuji Ren TUTA1 at the NTCIR-12 Temporalia Task Proceedings of the 12th NTCIR Conference on Evaluation of Information Access Technologies 258 261 20160600 rfj0161560/published_papers/17250369 Changqin Quan Fuji Ren Feature-level sentiment analysis by using comparative domain corpora ENTERPRISE INFORMATION SYSTEMS 1751-7583 10 5 505 522 20160600 10.1080/17517575.2014.985613 rfj0161560/published_papers/17250333 Xiao Sun Ting Pan Fu-Ji1 Ren Facial expression recognition using ROI-KNN deep convolutional neural networks Science Press Zidonghua Xuebao/Acta Automatica Sinica 0254-4156 42 6 883 891 20160601 10.16383/j.aas.2016.c150638 2-s2.0-84977261589 rfj0161560/published_papers/17250339 Kazuyuki Matsumoto Minoru Yoshida Seiji Tsuchiya Kenji Kita Fuji Ren Slang Analysis Based on Variant Information Extraction Focusing on the Time Series Topics Recently, with increase of the number of users of Social Networking Sites, online communications have been more and more actively made, raising the possibility to use the big data on SNS for analyzing the diversity of language. Japanese language uses varieties of character types and such character types are combined and used for creating words and phrases. Therefore, it is difficult to morphologically analyze such words and phrases even though morphological analysis is a basic processing in natural language processing. Such words and phrases that are not registered in morphological analysis dictionaries are usually not defined strictly and semantic interpret for them seems to vary depending on deindividual. In this study, we chronologically analyze the topics related to slang on Twitter. In this paper, as a validation experiment, we conducted a topic analysis experiment chronogically by using the sequential tweet data, and discussed the difference of topic change according to the slang types. 近年，SNS の利用者増加に伴い，Web上でのコミュニケーションがよりいっそう活発になった． これにより，言葉の多様性について，SNS上のビッグデータを用いて解析できる可能性が出てきた．日本語では扱われる文字種が多いことからも，様々な表現が存在し，自然言語処理において基本的な処理である形態素解析が，比較的難しいことが問題となっている．こうした形態素解析の辞書に登録されていないような未知表現に対しては，厳密な定義が存在していないこともしばしばであり，意味解釈における個人差が大きいことが考えられる．本研究では，Twitter上の俗語に関連したトピックを時系列で分析する．本論文では，検証実験として，連続するTweetデータを用いたトピックの時系列分析実験をおこない，俗語の種類によるトピック変化の違いを考察する．変化しない情報(不変情報)が，一定期間においてどのような変化を示すかを実験により示し，標準語との差異を調べる．また，俗語の変化の仕方を変動値とし，特徴ベクトルとすることで，似たような傾向を示す俗語をクラスタリングする手法を提案し，実験結果を分析する． International Journal of Advanced Intelligence (IJAI) 1883-3918 8 1 84 98 20160500 rfj0161560/published_papers/17250338 Tian Chen Xin Yi Wei Wang Jun Liu Huaguo Liang Fuji Ren 任 福継 Low Power Multistage Test Data Compression Scheme ACTA ELECTRONICA SINICA 44 4 241 247 20160500 10.3969/j.issn.0372-2112.2016 rfj0161560/published_papers/17250337 Fuji Ren 任 福継 Yanqiu Li Liangfeng Xu Min Hu Xiaohua Wang Face recognition method based on local mean pattern description and double weighted decision fusion for classification Journal of Image and Graphics 21 5 565 573 20160500 10.11834/jig.20160504 rfj0161560/published_papers/17250336 Sun Yan Fuji Ren XIN KANG Changqin Quan Developing a Japanese Adverb-Emotion Corpus to Investigate the Effect of Adverbs in Japanese Sentence Emotion Classification International Journal of Advanced Intelligence (IJAI) 1883-3918 8 1 99 116 20160500 rfj0161560/published_papers/17250359 Fuji Ren Kazuyuki Matsumoto Semi-Automatic Creation of Youth Slang Corpus and Its Application to Affective Computing IEEE TRANSACTIONS ON AFFECTIVE COMPUTING 1949-3045 7 2 176 189 20160400 10.1109/TAFFC.2015.2457915 rfj0161560/published_papers/29666807 Zhong Huang Fuji Ren Min Hu Online facial expression imitation for humanoid robot based on RBF neural network Chinese Academy of Sciences Jiqiren/Robot 1002-0446 38 2 225 232 20160301 10.13973/j.cnki.robot.2016.0225 2-s2.0-84964341236 rfj0161560/published_papers/28121669 Lei Wang Fuji Ren Duoqian Miao Multi-label emotion recognition of weblog sentence based on Bayesian networks IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING 1931-4981 11 2 178 184 20160300 10.1002/tee.22204 rfj0161560/published_papers/17250342 Xiaohua Wang Wei Huang Chao Jin Min Hu Fuji Ren Facial expression recognition based on the optimal matching of multi-feature and multi-classifier Chinese Academy of Sciences Guangdian Gongcheng/Opto-Electronic Engineering 1003-501X 43 3 73 79 20160301 10.3969/j.issn.1003-501X.2016.03.012 2-s2.0-84964389838 rfj0161560/published_papers/17250341 Lei Wang Fuji Ren Duoqian Miao Multi-label emotion recognition of weblog sentence based on Bayesian networks John Wiley and Sons Inc. IEEJ Transactions on Electrical and Electronic Engineering 1931-4981 11 2 178 184 20160301 10.1002/tee.22204 2-s2.0-84956847621 rfj0161560/published_papers/17250345 Fuji Ren Haitao Yu Role-explicit query extraction and utilization for quantifying user intents INFORMATION SCIENCES 1872-6291 329 1 568 580 20160200 10.1016/j.ins.2015.09.052 rfj0161560/published_papers/17250344 Changqin Quan Fuji Ren Weighted high-order hidden Markov models for compound emotions recognition in text INFORMATION SCIENCES 1872-6291 329 581 596 20160200 10.1016/j.ins.2015.09.050 rfj0161560/published_papers/28196723 Duo Feng Shun Nishide Fuji Ren Automatic Facial Feature Points Extraction and Expression Recognition Based on Video Database PROCEEDINGS OF THE 2015 4TH NATIONAL CONFERENCE ON ELECTRICAL, ELECTRONICS AND COMPUTER ENGINEERING ( NCEECE 2015) 2352-5401 47 1525 1530 20160000 rfj0161560/published_papers/28180142 Zhong Huang Fuji Ren Yanwei Bao Human-like Facial Expression Imitation for Humanoid Robot based on Recurrent Neural Network IEEE ICARM 2016 - 2016 INTERNATIONAL CONFERENCE ON ADVANCED ROBOTICS AND MECHATRONICS (ICARM) 306 311 20160000 rfj0161560/published_papers/28168824 Xin Kang Fuji Ren Understanding Blog Author's Emotions with Hierarchical Bayesian Models 2016 IEEE 13TH INTERNATIONAL CONFERENCE ON NETWORKING, SENSING, AND CONTROL (ICNSC) 1810-7869 null null 20160000 rfj0161560/published_papers/28151337 Bin Zhang Changqin Quan Fuji Ren Study on CNN in the Recognition of Emotion in Audio and Images 2016 IEEE/ACIS 15TH INTERNATIONAL CONFERENCE ON COMPUTER AND INFORMATION SCIENCE (ICIS) 319 323 20160000 rfj0161560/published_papers/28148227 Yu Gu Mengni Chen Fuji Ren Jie Li HED: Handling Environmental Dynamics in Indoor WiFi Fingerprint Localization 2016 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE 1525-3511 null null 20160000 rfj0161560/published_papers/28127537 Yuta Inoue Shun Nishide Fuji Ren Facial Expression Recognition Adaptive to Face Pose Using RGB-D Camera TRENDS IN APPLIED KNOWLEDGE-BASED SYSTEMS AND DATA SCIENCE 0302-9743 9799 422 427 20160000 10.1007/978-3-319-42007-3_36 rfj0161560/published_papers/28125634 Yu Gu Lianghu Quan Fuji Ren Jie Li Optimal Parameter Setting for Indoor Localization via Big Data Analysis 2016 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) 2159-4228 null null 20160000 rfj0161560/published_papers/27917534 Kang Xin Fuji Ren Understanding Blog Author's Emotions with Hierarchical Bayesian Models 2016 IEEE 13TH INTERNATIONAL CONFERENCE ON NETWORKING, SENSING, AND CONTROL (ICNSC) 1810-7869 1 6 20160000 10.1109/ICNSC.2016.7479037 rfj0161560/published_papers/27917517 Chao Li Fuji Ren Xin Kang Verb-object Selectional Preferences in Chinese Based on Distributional Semantic Model In this paper, we propose a approach based on distributional semantic model on selectional preference task in the verb &amp; dobj (direct object) relationship. The distributional representations of words are employed as the semantic feature by using the Word2Vec algorithm. Experimental results show that the proposed approach is effective to discriminate the compatibility of the object words and the performance could be improved by increasing the number of training data. Moreover, the results demonstrate that the semantics is an universal, effective and stable feature in this task, which is consistent with our awareness of using words. 18th International Conference on Mathematical Methods, Computational Techniques and Intelligent Systems (MAMECTIS '16) 59 62 20160100 rfj0161560/published_papers/17250371 Changqin Quan Fuji Ren Visualizing Emotions from Chinese Blogs by Textual Emotion Analysis and Recognition Techniques INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING 1793-6845 15 1 215 234 20160100 10.1142/S0219622014500710 rfj0161560/published_papers/17250368 Yu Gu Fuji Ren Yusheng Ji Jie Li The Evolution of Sink Mobility Management in Wireless Sensor Networks: A Survey IEEE COMMUNICATIONS SURVEYS AND TUTORIALS 1553-877X 18 1 507 524 20160000 10.1109/COMST.2015.2388779 rfj0161560/published_papers/17250343 Bin Zhang Changqin Quan Fuji Ren 任 福継 Overview of Speech Synthesis in Development and Methods 音声合成の方法と開発 In human computer interaction the most natural and the best way to exchange is the communication by human voice.Which is mainly related to speech synthesis that is the technology of converting text to speech.This paper provides a concise but deep introduction to the development of speech synthesis and propose the problems and solutions in the development of speech synthesis.The researchers who are just entering the field of speech synthesis can stand on the shoulders of giants and have a clear and deep understanding of voice synthesis and start working with a correct judgment.In this paper first the effective methods which are already exist and mainstream in speech synthesis are overall introduced and the main idea of these methods as well as their advantages and disadvantages are described.On this basis we inspire new ideas.After that this paper illustrates the efforts respectively at home and abroad in recent years that researchers have done in the field of speech synthesis.Then objective evaluate and analyze gains and losses in synthesis technology improvements and draw the trend of synthesis technology in recent years.Finally get the prospect in speech synthesis pointing the bottleneck in development and trying to give direction to solve them. 人間のコンピュータとの対話では，最も自然で最も良い方法は人間の声によるコミュニケーションである．主にテキストを音声に変換する技術である音声合成に関連している．このペーパーは，スピーチの発達音声合成の分野に参入している研究者は，巨人の肩に立つことができ，音声合成をはっきりと深く理解し，正しい判断で作業を開始することができる．本稿では，音声合成において既に存在し，主流である有効な方法を全体的に導入し，これらの方法の主なアイデアとその長所と短所を記述する．この基礎から我々は新しいアイデアを鼓舞する．近の合成技術の向上と合成技術のトレンドを評価し，分析する．最後に，音声合成の見通しを得て，開発におけるボトルネックを指摘し，それらを解決する方向づけを試む． Journal of Chinese Computer Systems 37 1 186 192 20160100 rfj0161560/published_papers/17250340 Changqin Quan Fuji Ren Textual emotion recognition for enhancing enterprise computing ENTERPRISE INFORMATION SYSTEMS 1751-7583 10 4 422 443 20160000 10.1080/17517575.2014.948935 rfj0161560/published_papers/17250332 Fuji Ren Yu Wang Changqin Quan A novel factored POMDP model for affective dialogue management JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 1875-8967 31 1 127 136 20160000 10.3233/IFS-162126 rfj0161560/published_papers/17250331 Xiao Sun Chongyuan Sun Fuji Ren Fang Tian Kunxia Wang Emotional Element Detection and Tendency Judgment Based on Mixed Model with Deep Features 2016 IEEE/ACIS 15TH INTERNATIONAL CONFERENCE ON COMPUTER AND INFORMATION SCIENCE (ICIS) 325 330 20160000 10.1109/ICIS.2016.7550779 rfj0161560/published_papers/17250330 Xiao Sun Xiaoqi Peng Fuji Ren Detect the Emotions of he Public Based on Cascade Neural Network Model 2016 IEEE/ACIS 15TH INTERNATIONAL CONFERENCE ON COMPUTER AND INFORMATION SCIENCE (ICIS) 1049 1054 20160000 rfj0161560/published_papers/17250329 Fei Gao Xiao Sun Kunxia Wang Fuji Ren Chinese Micro-blog Sentiment Analysis based on Semantic Features and PAD Model 2016 IEEE/ACIS 15TH INTERNATIONAL CONFERENCE ON COMPUTER AND INFORMATION SCIENCE (ICIS) 1061 1065 20160000 10.1109/ICIS.2016.7550903 rfj0161560/published_papers/17250349 Yan Sun Changqin Quan Xin Kang Zuopeng Zhang Fuji Ren Customer emotion detection by emotion expression analysis on adverbs INFORMATION TECHNOLOGY & MANAGEMENT 1573-7667 16 4 303 311 20151200 10.1007/s10799-014-0204-2 rfj0161560/published_papers/17250348 Tian Chen Xin Yi Liuyang Zheng Wei Wang Huaguo Liang Fuji Ren 任 福継 Jun Liu Low Power Deterministic Test Scheme based on Viterbi Journal of Compter-Aided Design & Computer Graphics 28 5 null null 20151200 rfj0161560/published_papers/28336792 Fuji Ren Zhong Huang Facial Expression Recognition Based on AAM-SIFT and Adaptive Regional Weighting IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING 1931-4981 10 6 713 722 20151100 10.1002/tee.22151 rfj0161560/published_papers/26867421 Kazuyuki Matsumoto Minoru Yoshida Kenji Kita Fuji Ren An Approach to Refine Translation Candidates for Emotion Estimation in Japanese-English Language テキストからの感情推定の研究のほとんどは機械学習手法を用いている．機械学習は，大量の事例コーパスを必要とするため，高品質な訓練データをどのように入手するかが，議論すべき主要な問題の一つである．既存の言語資源は，感情コーパスを含む．しかし，言語が異なると，利用できない．我々は，日英対訳感情コーパスを用いて，訓練データを別の言語に変換する手法を提案する．対訳辞書により，各文のすべての単語に対して対訳候補が抽出される．抽出された対訳候補は，感情推定に高く貢献する語に絞り込み，それらを訓練データとして用いる．提案手法により構築された訓練データを用いて，評価実験を行った結果，感情推定の精度はNaive Bayes分類器を用いて66.7%に向上した． Proceedings of the 7th International Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management 2 74 83 20151100 rfj0161560/published_papers/17250354 Xiaohua Wang Dengyong Hou Min Hu Fuji Ren Dual-modality emotion recognition of facial expressions and gestures We carry out a research of dual-modality emotion recognition about facial expressions and gestures and then propose a method combined facial expressions and gestures for dual-modality emotion recognition. Firstly, we obtain the expression image and gesture image by pre-processed the hand-over-face image. The pretreatment included reconstruct facial expression image through PCA algorithm. Secondly, we extract the LBP features from expression image and the Hu moment invariant features and Fourier descriptor features from gesture image. We use SVM and KNN to coarse classification recognition the expression features and gesture features respectively. Finally, we mix classification results of facial expressions and gestures together by using the linear weighted voting algorithm proposed in this paper. The experimental results show that this method has the better discrimination in the dual-modality emotional database established by ourselves. 我々は，表情とジェスチャーに関するデュアルモダリティ感情認識の研究を行い，デュアルモダリティ感情認識のための表情とジェスチャーを組み合わせた方法を提案する．まず，手のひら顔画像を前処理して表現画像とジェスチャ画像を得る．前処理は，PCAアルゴリズムを用いて表情画像を再構成することを含む．第2に，表現画像からのLBP特徴，およびジェスチャ画像からのHuモーメント不変特徴およびフーリエ記述子特徴を抽出する．我々は，SVMとKNNを用いて，表現特徴とジェスチャー特徴のそれぞれを分類認識に粗くする．最後に，本論文で提案した線形加重投票アルゴリズムを用いて表情とジェスチャの分類結果を合わせる．実験結果は，この方法が，自分自身によって確立された二重モダリティの感情データベースにおいて優れた差別を有することを示している． International Journal of Advanced Intelligence (IJAI) 1883-3918 7 1 24 34 20151100 rfj0161560/published_papers/17250353 Jiaqi Ye Xiao Sun Fuji Ren Fang Tian Social Network Influenza Epidemic Detection Based on SVM and CRF Influenza is an acute respiratory illness and widespread activity that occurs every year. Detection and prevention of Influenza in its earliest stage would reduce the spread range of the illness. Sina microblog is a popular micro blogging service in China, which could provide perfect reference sources for flu detection due to its real-time characteristic and large number of active users posting about their daily life continually. In this paper, we investigate the real-time flu detection problem and propose a flu detection model with emotion factors and semantic information (Em-Flu model). First, we extract flu-related microblog posts automatically in real-time using a simple SVM filter. We use association rule mining to extract strongly associated features as additional features of posts to overcome the limitation of 140 words for posts, including sentimental analysis information which can help to classify the posts without features. Then Conditional Random Field model is revised and applied to detect the transition time of flu that we can find out which place is more likely for influenza outbreak and when an influenza outbreak is more likely in a particular city or province in China. The experimental results display when and where influenza epidemic is more likely to occur and show the robustness and effectiveness of the proposed model might help health organizations in predicting a flu outbreak allowing them to take appropriate action in a timely manner. International Journal of Advanced Intelligence (IJAI) 1883-3918 7 1 66 79 20151100 rfj0161560/published_papers/17250352 Min Hu Xiaoyin Huang Fuji Ren Xiaohua Wang Facial Expression Recognition Based on MBP and Sparse Representation Recently, sparse representation attracts widespread attention in the field of pattern recognition and artificial intelligence. Gabor features based sparse representation classifier had been introduced in face recognition research field and achieved good recognition effect. But its enormous time cost and space cost and computational complexity in the real system cannot be ignored. So this paper proposed a novel facial expression recognition method based on monogenic binary pattern and sparse representation. The proposed method extracts features from the facial expression image by using monogenic binary pattern and utilizes information entropy to weight the feature block, then constructs sparse dictionary and makes use of residual value for classification. Our proposed method was tested on the popular FERET and Cohn-Kanade facial database and obtained the average rates 94.92% and 97.46% respectively. The experimental results show that the sparse dictionary which is constructed by the proposed features has stronger ability for sparse representation and has better performance in time and space efficiency. International Journal of Advanced Intelligence (IJAI) 1883-3918 7 1 95 102 20151100 rfj0161560/published_papers/17250351 Yanqiu Li Fuji Ren Liangfeng Xu Min HU Zixi Yu Face Recognition Based on ULBP and BP Neural Network Face recognition is a research hotspot in computer vision field. Compared with the traditional feature extraction algorithms, Local Binary Pattern has many advantages, such as high accuracy, fine, light illumination invariance, etc., so it is widely used to extract facial texture feature. Firstly, we put the image evenly into blocks and constructed sub-image sets. This would be more efficient to extract feature data. Through combining with BP neural network, we make use of decision fusion and weighted fusion two ways to obtain the classification results of unknown samples. Experimental results on ORL face database show that this method is effective. International Journal of Advanced Intelligence (IJAI) 1883-3918 7 1 103 114 20151100 rfj0161560/published_papers/17250350 Lianghu Quan Yu Gu Mengni Chen Fuji Ren 任 福継 Research on pasive human activity recognition using WiFi ambient signals Although traditional k-nearest neighbor(K-NN) and bagging can recognize effectively less human activities using WiFi ambient signal, recognizing seven activities, namely, empty, walking, sitting, standing, sleeping, fallen and running, is not ideal. To further improve the performance, a new algorithm named fusion algorithm has been designed. It significantly outperform K-NN and bagging in terms of the recognition ratio in both single-subject and multi-subject experiments. Journal of University of Scinece and Technology of China 45 3 101 106 20151100 10.3969/j.issn.0253-2778.2015.02.002 rfj0161560/published_papers/17250347 Fuji Ren Zhong Huang Facial expression recognition based on AAM-SIFT and adaptive regional weighting John Wiley and Sons Inc. IEEJ Transactions on Electrical and Electronic Engineering 1931-4981 10 6 713 722 20151101 10.1002/tee.22151 2-s2.0-84943587614 rfj0161560/published_papers/17250355 Min Hu Yihong Cheng Xiaohua Wang Fuji Ren 任 福継 Liangfeng Xu Xiaoyin Huang Facial Expression Recognition Based on asymmrtric region local gradient coding 非対称領域局所勾配符号化に基づく表情認識 顔表情認識は近年盛んに研究されてきたが，多くの問題点が残されている．本稿では，非対称領域局所勾配符号化に基づく表情認識手法を提案する．提案した手法に基づき実験システムを構築し，様々な実験を行なった．実験結果から，提案した手法の有効性を確かめることができた． Journal of Image and Graphics 20 10 1313 1321 20151000 10.11834/jig.20151004 rfj0161560/published_papers/28282315 Ye Wu Fuji Ren Exploiting opinion distribution for topic recommendation in Twitter IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING 1931-4981 10 5 567 575 20150900 10.1002/tee.22120 rfj0161560/published_papers/26867418 Kyosuke Akita 松本 和幸 Minoru Yoshida 秋田 恭祐 Kenji Kita 吉田 稔 Fuji Ren 北 研二 任 福継 Estimate the Intimacy of the Characters Based on Their Emotional States for Application to Non-Task Dialogue 非タスク型対話においては，ユーザとの会話を円滑かつ柔軟にするための工夫が必要となる．たとえば，ユーザの現実世界での人間関係を考慮することで，システムとユーザという閉じた人間関係から一歩踏み出すことが可能と考える．本稿では，演劇台本を題材に，対話中の2者間の人間関係を「親密度」という尺度により表現することを試みる．親密度に関わると考えられる要素として，発話の応答回数や発話中の態度などがある．本論文では，そのなかでも発話中の感情状態に着目することで，高精度な親密度推定の実現を試みる．評価実験の結果，発話役割に基づく従来手法を上回る高精度な親密度推定を実現することが出来た． Proceedings of the 6th International Conference on Affective Computing and Intelligent Interaction (ACII2015) 327 333 20150900 10.1109/ACII.2015.7344591 rfj0161560/published_papers/17250358 Ye Wu Fuji Ren Exploiting opinion distribution for topic recommendation in Twitter John Wiley and Sons Inc. IEEJ Transactions on Electrical and Electronic Engineering 1931-4981 10 5 567 575 20150901 10.1002/tee.22120 2-s2.0-84937731417 rfj0161560/published_papers/17250356 Xiao Sun Chongyuan Sun Fuji Ren 任 福継 New Word Detection and Emotional Tendency Judgment Based on Deep Structured Model 深層構造モデルに基づく新しい単語検出と感情傾向判定 With the development of social network,new words appear ceaselessly.The appearance of new word tends to characterize the social hot spot or represent certain public mood.The new word detection and emotional tendency judgment provide a new way for the public mood forecast.We constructed the deep conditional random fields model for the sequence labeling,introduced part of speech,character position,the ability of word formation as features,and combined it with the crowd sourcing network dictionary and the other third party dictionary.Traditional method based on emotional dictionary is difficult to judge the new word emotional tendency.We expressed word as a vector of K dimension based on neural network language model in order to find the nearest words to the new word in the vector space.According to the emotional tendency of these words and the distance between them and the new word,the new word sentiment is judged.The experiment on corpus of Peking university demonstrates the feasibility of the proposed model and method,in which the new word detection F-value is 0.991,and the emotion recognition accuracy is 70%. ソーシャルネットワークの発達に伴い，新しい言葉が絶え間なく出現しています．新しい言葉の出現は，社会的なホットスポットを特定したり，特定の公共の気分を表す傾向があります．新しい単語の検出と感情的な傾向の判断は，品詞，文字位置，特徴としての単語形成の能力を導入し，それを群集調達ネットワーク辞書および他の第三者辞書と組み合わせた．感情辞書に基づく従来の方法は，新しい単語の感情的な傾向を判断することは困難である．我々は，ニューラルネットワーク言語モデルに基づいてK次元のベクトルとして単語を表現し，ベクトル空間における新しい単語に最も近い単語を見つける．これらの単語の感情的傾向およびそれらの間の距離と新しい単語，新しい単語感情が判断されます． Computer Science 42 9 208 213 20150900 10.11896/j.issn.1002-137X.2015.09.040 rfj0161560/published_papers/17250360 Fuji Ren XIN KANG Changqin Quan Examining Accumulated Emotional Traits in Suicide Blogs with an Emotion Topic Model Suicide has been a major cause of death throughout the world. Recent studies have proved a reliable connection between the emotional traits and suicide. However, detection and prevention of suicide are mostly carried out in the clinical centers, which limits the effective treatments to a restricted group of people. To assist detecting suicide risks among the public, we propose a novel method by exploring the accumulated emotional information from people&#039;s daily writings (i.e. Blogs), and examining these emotional traits which are predictive of suicidal behaviors. A complex emotion topic (CET) model is employed to detect the underlying emotions and emotion-related topics in the Blog streams, based on eight basic emotion categories and five levels of emotion intensities. Since suicide is caused through an accumulative process, we propose three accumulative emotional traits, i.e., accumulation, covariance, and transition of the consecutive Blog emotions, and employ a generalized linear regression algorithm to examine the relationship between emotional traits and suicide risk. Our experiment results suggest that the emotion transition trait turns to be more discriminative of the suicide risk, and that the combination of three traits in linear regression would generate even more discriminative predictions. A classification of the suicide and non-suicide Blog articles in our additional experiment verifies this result. Finally, we conduct a case study of the most commonly mentioned emotion-related topics in the suicidal Blogs, to further understand the association between emotions and thoughts for these authors. 最近の研究は，感情的な形質と自殺との間の信頼できる関係を証明している．しかし，自殺の検出と予防は，主に臨床センターで実施されており，効果的な治療を限られた人々の集団に限定している．一般人の自殺リスクの検出を助けるために，私たちは，人々の毎日の文章(ブログ)から蓄積された感情情報を探索し，自殺行動を予測するこれらの感情的特徴を調べることによって，新しい方法を提案する．複雑な感情トピック(CET)モデルを使用して，8つの基本感情カテゴリと5つの感情強度レベルに基づいて，ブログストリーム内の基礎感情および感情関連トピックを検出する．我々は3つの累積感情特性，すなわち連続ブログ感情の蓄積，共分散および推移を提案し，感情特性と自殺リスクとの関係を調べるために一般化線形回帰アルゴリズムを用いる．我々の実験結果は，感情遷移特性が自殺リスクをより区別する傾向にあり，線形回帰における3つの特性の組み合わせがより差別的な予測を生成することを示唆している． IEEE Journal of Biomedical and Health Informatics 2168-2208 20 5 1384 1396 20150722 10.1109/JBHI.2015.2459683 26208372 rfj0161560/published_papers/28369589 Fuji Ren Yu Wang Changqin Quan TFSM-based dialogue management model framework for affective dialogue systems IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING 1931-4981 10 4 404 410 20150700 10.1002/tee.22100 rfj0161560/published_papers/17250361 Min Hu Kun Li Xiaohua Eang Fuji Ren 任 福継 Facial expression recognition based on histogram weighted HCBP ヒストグラム加重HCBPに基づく表情認識 In order to overcome the limitation of local binary pattern ( LBP) and its improved algorithm a facial expression method based on histogram weighted HCBP is proposed Firstly facial image is divided into some uniform sub-image and HCBP operator is used to extract texture feature Then the information entropy is used to calculate the weight of every sub-image weighted HCBP histogram of sub-image is combined with the HCBP histogram of the original image and the result histogram image is accomplished as the facial expression feature Finally the expression is classified with the nearest neighbor classifier Using the combination of Haar-like feature and CBP operator makes the description of local feature more sufficient The introduction of information entropy can distinguish the contribution of different partitions of the face The experimental results in JAFFE library and Cohn-Kanade library show that the HCBP method outperforms than existing LBP methods in both the recognition rate and the speed 局所バイナリパターン(LBP)の限界とその改良アルゴリズムを克服するために，ヒストグラム加重HCBPに基づく表情法を提案する．まず，顔画像を一定の部分画像に分割し，HCBP演算子を用いてテクスチャ特徴を抽出する．情報エントロピーを使用して，サブ画像のすべてのサブ画像重み付けHCBPヒストグラムが原画像のHCBPヒストグラムと組み合わされ，結果ヒストグラム画像が表情特徴として達成される．最後に，表現は最も近い近傍分類器Haar-like特徴とCBP演算子の組み合わせを用いることにより，局所特徴の記述がより十分になる．情報エントロピーの導入は，顔の異なる区画の寄与を区別できる．JAFFEライブラリとCohn-Kanadeライブラリの実験結果は，HCBP法は，既存のLBP法よりも認識率とsの両方において優れていることが分かった． Journal of Electronic Measurement and Instrumentation 29 7 953 960 20150700 10.13382/j.jemi.2015.07.003 rfj0161560/published_papers/17250362 Bin Zhang Fuji Ren Changqin Quan Overview of Speech Synthesis in Development and Methods Spoken dialogue system is the core technology in the field of human-computer interaction, and it is an important way to realize the harmonious human-computer interaction, the research has great theory significance and application value. The advances of theory and technology in spoken dialogue systems have always been greatly concerned. The status and advances of dialogue management and spoken dialogue system are comprehensively summarized in this paper. First, the main research questions of spoken dialogue system are introduced comprehensively, including the research contents of the modules, key technologies, portability and robust design. Then, the various spoken dialogue management strategies are systematically analyzed from the perspective of theoretical models, advances and usability. Finally, several possible directions and problems for further consideration and discussion are also mentioned. 音声対話システムは，人間とコンピュータの相互作用の分野における中核技術であり，人間とコンピュータの相互作用を実現する重要な方法であり，その研究は大きな理論的意義と応用価値を持っている．音声対話システムにおける理論と技術の進歩は，常に懸念されてきた．本稿では，対話管理の現状と進化を総括的にまとめた．まず，モジュールの研究内容，主要技術，移植性，ロバストな設計など，音声対話システムの主な研究課題を包括的に紹介する．次に，理論的モデル，進歩性，ユーザビリティの観点から，様々な音声対話管理戦略を体系的に分析する．最後に，さらなる考慮および議論のためのいくつかの可能な方向および問題も言及される． Journal of Chinese Computer Systems 36 6 1 8 20150600 rfj0161560/published_papers/17250365 Jun Liu Qingqing Qian Xi Wu Wei Wang Tian Chen Fuji Ren 任 福継 Optimizing pre-bond and post-bond test time for three dimension IP Cores Computer Engineering and Applications 19 11 1 7 20150500 10.3778/j.issn.1002-8331.1412-0164 rfj0161560/published_papers/17250364 Fuji Ren Mengni Chen Yu Gu WeWatch: An Application for Watching Video Across Two Mobile Devices In recent years, high resolution video has developed rapidly and widescreen smart devices have become popular. We present an Android application called WeWatch that enables high resolution video to be shared across two mobile devices when they are close to each other. This concept has its inspiration in machine to machine connections in the Internet of Things (loT). We ensure that the two parts of the video are the same size over both screens and are synchronous. Further, a user can play, pause, or stop the video by moving one device a certain distance from the other. We decide on appropriate distances through experimentation. We implemented WeWatch on Android operating system and then optimize Watch so battery consumption is reduced. The user ex perience provided by WeWatch was evaluated by students through a questionnaire, and the reviews indicated that WeWatch does improve the viewing experience. 近年，高解像度ビデオが急速に発展し，ワイドスクリーンのスマートデバイスが普及している． WeWatchと呼ばれるAndroidアプリケーションを述べる．これは，2つのモバイルデバイスが互いに近づいているときに高解像度のビデオを共有できるようにするものである．このコンセプトは，Internet of Things(loT)の機械間接続にインスピレーションを与える．動画の2つの部分が両方の画面で同じサイズで同期していることを確認する．さらに，ユーザは，あるデバイスをある距離だけ他のデバイスから移動させることによって，ビデオを再生，一時停止または停止することができる．我々は，実験を通じて適切な距離を決定する．AndroidオペレーティングシステムでWeWatchを実装し，ウォッチを最適化してバッテリ消費を減らした．WeWatchによって提供されたユーザーの経験は，アンケートを通じて学生によって評価され，レビューはWeWatchが視聴体験を改善することを示した． ZTE COMMUNICATIONS 1673-5188 13 2 17 22 20150500 10.3969/j.issn.16735188.2015.02.004 rfj0161560/published_papers/17250366 Fuji Ren Yu Wang Changqin Quan TFSM-based dialogue management model framework for affective dialogue systems A new dialogue management model for affective dialogue system, which aims to provide a service of information inquiry and affective interaction, is proposed in this paper. First, we construct two finite state machines (TFSM) to model the user and the system, respectively, and simulate the dialogue process as an information exchange between the two state machines. All possible state transitions in dialogue and its probabilities of the user are summarized as a user model, which is helpful for the system to inference and predict the user&#039;s internal states. Second, we further discuss the implementation methods of information inquiry and emotional response modules. Finally, we employ the return function of partially observable Markov decision processes (POMDP) model to analyze and evaluate the TFSM-based dialogue management model. The experimental results not only show the relationships between the average returns, recognition error rates, and state transition probabilities but also confirm that our TFSM-based dialogue management model outperforms the conventional FSM model. 情報照会と感情の相互作用のサービスを提供することを目的とする感情対話システムのため，新しい対話管理モデルを提案した．まず，ユーザとシステムをモデル化し，2つの有限状態機械(FSM)を構築する．2つのステートマシン間の情報交換などの対話プロセスをシミュレート．TFSMベースの対話管理モデルを分析し，評価する部分観測マルコフ決定過程(POMDP)モデルの復帰機能を使用する手法を研究した． IEEJ Transactions on Electrical and Electronic Engineering (TEEE) 1931-4981 1 7 20150400 10.1002/tee.22100 rfj0161560/published_papers/47036613 Lei Hua Changqin Quan Fuji Ren Gene-disease relation extraction and gene interaction network construction The International Society for Computers and Their Applications (ISCA) Proceedings of the 7th International Conference on Bioinformatics and Computational Biology, BICOB 2015 77 84 20150000 2-s2.0-84925863426 rfj0161560/published_papers/28350707 Xiao Sun Fei Gao Chengcheng Li Fuji Ren Chinese Microblog Sentiment Classification Based on Convolution Neural Network with Content Extension Method 2015 INTERNATIONAL CONFERENCE ON AFFECTIVE COMPUTING AND INTELLIGENT INTERACTION (ACII) 2156-8103 408 414 20150000 rfj0161560/published_papers/28321504 Zhao Han Fuji Ren Duoqian Miao A SYNTHETIC AND COMPUTATIONAL LANGUAGE MODEL FOR INTERACTIVE DIALOGUE SYSTEM PROCEEDINGS OF THE EUROPEAN CONFERENCE ON DATA MINING 2015 AND INTERNATIONAL CONFERENCES ON INTELLIGENT SYSTEMS AND AGENTS 2015 AND THEORY AND PRACTICE IN MODERN COMPUTING 2015 73 80 20150000 rfj0161560/published_papers/28320958 Xiaoming Xu Changqin Quan Fuji Ren Facial Expression Recognition based on Gabor Wavelet Transform and Histogram of Oriented Gradients 2015 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION 2117 2122 20150000 rfj0161560/published_papers/28314467 Min Hu Zhu-guo Yu Michael Lawo Dong-yi Chen Fu-ji Ren Constructing Ideas of Chronic Disease Prevention Control Data Warehouse System and Data Mining INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND ARTIFICIAL INTELLIGENCE (ICCSAI 2014) 43 47 20150000 rfj0161560/published_papers/28269595 Xiao Sun Jiaqi Ye Fuji Ren Hybrid Model Based Influenza Detection with Sentiment Analysis from Social Networks SOCIAL MEDIA PROCESSING, SMP 2015 1865-0929 568 51 62 20150000 10.1007/978-981-10-0080-5_5 rfj0161560/published_papers/26867424 Hirokazu Ito Kazuyuki Matsumoto Misao Miyagawa Yumi Kuwamura Yuko Yasuhara Fuji Ren Tetsuya Tanioka Rozzano De Castro Locsin Professional Nurses Attitudes Towards the Introduction of Humanoid Nursing Robots (HNRs) to the Hospital, International Association for Human Caring 36th International Conference null null 20150000 rfj0161560/published_papers/17250367 Min Hu Jiang Hr Xiaohua Wang Hongbo Chen Kun Li Fuji Ren 任 福継 Precise local feature description for facial expression recognition Journal of Image and Graphics 19 11 1613 1622 20150100 10.11834/jig.20141109 rfj0161560/published_papers/17250363 Yu Gu Fuji Ren Energy-Efficient Indoor Localization of Smart Hand-Held Devices Using Bluetooth IEEE ACCESS 2169-3536 3 1450 1461 20150000 10.1109/ACCESS.2015.2441694 rfj0161560/published_papers/17250357 Yiming Tang Fuji Ren Variable differently implicational algorithm of fuzzy inference JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 1875-8967 28 4 1885 1897 20150000 10.3233/IFS-141476 rfj0161560/published_papers/27917518 Yu Haitao Xin Kang Fuji Ren TUTA1 at the NTCIR-11 Temporalia Task Proceedings of the 11th NTCIR Conference 461 467 20141200 rfj0161560/published_papers/29636331 Hai-Tao Yu Fuji Ren Search result diversification via filling up multiple knapsacks Association for Computing Machinery, Inc CIKM 2014 - Proceedings of the 2014 ACM International Conference on Information and Knowledge Management 609 618 20141103 10.1145/2661829.2661933 2-s2.0-84937566039 rfj0161560/published_papers/28106715 Jun Wang Fuji Ren Lei Li Recognizing Sentiment of Relations between Entities in Text IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING 1931-4981 9 6 614 620 20141100 10.1002/tee.22017 rfj0161560/published_papers/17250372 Jun Wang Fuji Ren Lei Li Recognizing sentiment of relations between entities in text John Wiley and Sons Inc. IEEJ Transactions on Electrical and Electronic Engineering 1931-4981 9 6 614 620 20141101 10.1002/tee.22017 2-s2.0-84907920235 rfj0161560/published_papers/17250370 Jun Liu Xi Wu Huaguo Liang Fuji Ren 任 福継 Optimizing the number of leaf nodes and TSVs in three dimensional scan tree 葉ノード数および3次元検査木におけるTSVsの最適化 Scan tree architecture can effectively reduce test data volume, test time and test cost for integratedcircuits. To reduce the number of leaf nodes and TSVs(through silicon vias) in scan tree for three dimensionalintegrated circuits, this paper firstly draws the conclusion that the minimum number of leaf nodes is the numberof scan cells contained in the maximal compatible group. Then, the necessary and sufficient condition achievingthe minimum number of leaf nodes is presented. On the basis above, a heuristic algorithm is proposed, whichcan minimize the number of leaf nodes and reduce consumed TSVs as many as possible. Experimental resultsdemonstrate the effectiveness of the proposed technique. 検査木アーキテクチャは，集積回路のためのテストデータの量，テスト時間およびテストのコストを効率的に減らせる．葉ノードの数と，3次元集積回路の検査木におけるTSVs(シリコン貫通電極)を削減する．本研究では，最少葉ノード数は検査セル数であると結論づけた．実験により，提案手法の有効性が確認できた． SCIENTIA SINICA Informationis 1674-7267 44 1 1 13 20140915 10.1360/N112014-00133 rfj0161560/published_papers/17250373 Xiaohua Wang Chao Jin Fuji Ren 任 福継 Min Hu Research on facial expression recognition based on pyramid Weber local descriptor and the Dempster-Shafer theory of evidence ピラミッド型Weber局所記述子とDempster-Shaferの証拠理論に基づく表情認識 Feature extraction is the most critical step in pattern recognition, and facial expression recognition is no exception.Weber Local Descriptor (WLD) is a Method that can effectively extract texture information from images and has the advantages of being consistent with human perception of human beings and being insensitive to noise and non-monotonic illumination variations. However, WLD has some limitations in the feature representation of local details. To overcome these limitations, a facial expression recognition Method based on Pyramid WLD (PWLD) is proposed in this study.Method First, facial images are preprocessed. This step includes the detection of faces from facial expression databases and normalization. The salient regions of segment 2 that have significant contributions to facial expression recognition from images are also preprocessed. One of these salient regions is that which includes the eyes and eye brows, while another is that with the mouth. The sizes of salient regions differ, and these regions contain different information. Thus, we stratify these salient regions and divide each layer into different blocks. The PWLD features of each block in each layer are then extracted and cascaded to represent the global and local features of a salient region reasonably, with some parameter adjustments. Second, we compute for the Chi-square distance of the PWLD histograms in both the testing and training sets. We then choose the minimum distance in every category of expressionsand normalize this distance to construct the Basic Probability Assignment (BPA) as independent evidence. To create the BPA, we use curve fitting in numerical analysis by simulating several sets of data. Finally, fusion BPA is obtained by using the Dempster-Shafer rule, and the Results are further obtained by employing thedecision-making and judgment of Dempster-Shafertheory of evidence.Result By fusing the PWLD features of the two different salient regions with Dempster-Shafer theory of evidence, we can overcome the limitations of a single regional featureand acquire more reliable and accurate Results. We conduct some cross-validation experiments on the JAFFE and Cohn-Kanade facialexpression databases, and the average recognition rates reach up to 95.81% and 97.47%, respectively. In addition, we perform some experiments with other algorithms, such as LBP, LDP, and Gabor; we also conduct some comparative experiments that combine the PWLD with different classifiers, such as 1-NN and SVM.Conclusion The WLD, which is known as a robust image descriptor, can well extract the texture information of images. Moreover, the PWLD can accurately describe the local details, which have more advantages than the WLD features. The comparative Results of some typical Methodsverify the effectiveness and fault tolerance of the proposed Method. The proposed Method has certain robustness under simultaneous noise and light conditions. 特徴抽出は，パターン認識において最も重要なステップであり，表情認識も例外ではない．本研究ではピラミッドWLD(PWLD)こに基づく表情認識手法を提案する．いくつかの典型的な方法の比較結果は，提案された方法の有効性とフォールトトレランスを確認した．提案された方法は，ノイズと光の同時の条件下で一定の堅牢性を有する． Journal of Image and Graphics 19 9 1297 1305 20140900 10.11834/jig.20140906 rfj0161560/published_papers/17250375 Changqin Quan Fuji Ren Unsupervised product feature extraction for feature-oriented opinion determination INFORMATION SCIENCES 1872-6291 272 16 28 20140700 10.1016/j.ins.2014.02.063 rfj0161560/published_papers/17250374 Changqin Quan Meng Wang Fuji Ren An Unsupervised Text Mining Method for Relation Extraction from Biomedical Literature PLOS ONE 1932-6203 9 7 e102039 e102039 20140700 10.1371/journal.pone.0102039 25036529 rfj0161560/published_papers/17250376 Misao Miyagawa Tetsuya Tanioka Yuko Yasuhara Kazuyuki Matsumoto Hirokazu Ito Motoyuki Suzuki Fuji Ren Rozzano De Castro Locsin Methodology for Developing a Nursing Administration Analysis System Nursing administration requires a large volume of wide-ranging information, and nurse administrators are limited in their ability to compile and analyze information for nursing administration. The purpose of this study is to create methodology for developing a nursing administration analysis system to aid nurse administrators in performing outcome analysis. In this methodology, information required for nursing administration in the PSYCHOMS? (Psychiatric Outcome Management System, registered trademark) database is analyzed according to the individual needs of nurse administrators. It features a combination of a classification method and an extraction method for obtaining quantitative and qualitative data as information required for nursing administration, and enables nurse administrators to easily obtain analysis results that they directly need. This methodology converts the time required nurse administrators to collect and organize information into time for making considerations in order to devise strategies for improving the quality of nursing care services, and can improve the quality and efficiency of nursing administration. This may lead to an increase of the quality of nursing care services at psychiatric hospitals. This methodology is highly versatile as it can be applied in information management, not only for nursing, but for the entire psychiatric hospital. 看護管理に必要な情報が多岐にわたり膨大となっている．看護管理のための情報の整理や分析は看護管理者の努力だけでは限界があり，看護管理者が行うアウトカム分析を支援することを目的に看護管理分析システムを開発した．看護管理に必要な情報を看護管理者個々のニーズに応じて，PSYCHOMS○R(Psychiatric Outcome Management System, registered trademark)のデータベースに保存されているデータを分析する．その特徴は，分類と抽出の2種類の方法を混合して量的・質的データをアウトプットとして表示することができるため，看護管理に必要な情報を出力できる．看護管理者が直感的に必要と考えたことに対する分析結果を簡便に得ることができる．このシステムを活用することで，看護管理者が情報の収集と整理に要していた時間を，看護サービスの質を改善するための方略を考えるための思考の時間に変換することができるため，看護管理の質と効率性を高めることができる．その結果，精神科看護サービスの質向上につなげることが可能となる．本システムは看護だけにとどまらず，精神科病院全体の情報管理にも応用可能であり，汎用性がある． Intelligent Information Management 2160-5912 6 3 118 128 20140520 10.4236/iim.2014.63013 rfj0161560/published_papers/47046887 Changqin Quan Fuji Ren Gene-disease association extraction by text mining and network analysis Association for Computational Linguistics (ACL) Proceedings of the 5th International Workshop on Health Text Mining and Information Analysis, Louhi 2014 at the 14th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2014 54 63 20140000 2-s2.0-84969734224 rfj0161560/published_papers/29598204 Hai-Tao Yu Fuji Ren Subtopic mining via modifier graph clustering Springer Verlag Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 1611-3349 8443 1 337 347 20140000 10.1007/978-3-319-06608-0_28 2-s2.0-84901247940 rfj0161560/published_papers/28369584 Lijuan Wang Changqin Quan Yanwei Bao Fuji Ren Construction of a Chinese Emotion Lexicon from Ren-CECps INTELLIGENT COMPUTING METHODOLOGIES 1611-3349 8589 625 634 20140000 rfj0161560/published_papers/28109313 Min Hu Yaona Zheng Fuji Ren He Jiang AGE ESTIMATION AND GENDER CLASSIFICATION OF FACIAL IMAGES BASED ON LOCAL DIRECTIONAL PATTERN 2014 IEEE 3rd International Conference on Cloud Computing and Intelligence Systems (CCIS) 2376-5933 103 107 20140000 rfj0161560/published_papers/28108751 Xiao Sun Chengcheng Li Wanyi Xu Fuji Ren Chinese Microblog Sentiment Classification Based on Deep Belief Nets with Extended Multi-modality Features 2014 IEEE International Conference on Data Mining Workshop (ICDMW) 928 935 20140000 10.1109/ICDMW.2014.101 rfj0161560/published_papers/28106418 Lu Kong Fuji Ren Xiao Sun Changqin Quan Word Frequency Statistics Model for Chinese Base Noun Phrase Identification INTELLIGENT COMPUTING METHODOLOGIES 0302-9743 8589 635 644 20140000 rfj0161560/published_papers/28098098 Yu Gu Lianghu Quan Fuji Ren WiFi-Assisted Human Activity Recognition 2014 IEEE ASIA PACIFIC CONFERENCE ON WIRELESS AND MOBILE 60 65 20140000 rfj0161560/published_papers/28094325 Xiao Sun Chengcheng Li Fuji Ren MODELING BLOG USER FOR CHINESE MICRO-BLOG SENTIMENT CLASSIFICATION WITH FUZZY SVM 2014 IEEE 3rd International Conference on Cloud Computing and Intelligence Systems (CCIS) 2376-5933 130 134 20140000 rfj0161560/published_papers/28093003 Wei Wang Runfeng Li Fang Fang Tian Chen Fuji Ren Jun Liu Xi Wu DESIGN AND REALIZATION OF 3D NOC MULTICAST ROUTER BASE ON MULTICAST ROTATIONAL ROUTING ARITHMETIC 2014 INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATION AND NETWORKING TECHNOLOGIES (ICCCNT null null 20140000 rfj0161560/published_papers/28089560 Tian Chen Bingdong Yang Wei Wang Birong Hao Fuji Ren Jun Liu YiXin Wang A TEST DATA COMPRESSION SCHEME BASED ON POSITION INFORMATION CODING 2014 INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATION AND NETWORKING TECHNOLOGIES (ICCCNT null null 20140000 rfj0161560/published_papers/28089375 Tian Chen Liuyang Zheng Wei Wang Fuji Ren Xishan Zhang Hao Chang A LOW POWER BIST SCHEME BASED ON BLOCK ENCODING 2014 INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATION AND NETWORKING TECHNOLOGIES (ICCCNT null null 20140000 rfj0161560/published_papers/28088106 Changqin Quan Xiquan Wei Fuji Ren COMPARISON OF SVM CLASSIFICATION METHOD AND SEMANTIC SIMILARITY METHOD FOR SENTIMENT CLASSIFICATION 2014 IEEE 3rd International Conference on Cloud Computing and Intelligence Systems (CCIS) 2376-5933 23 28 20140000 rfj0161560/published_papers/28083905 Fuji Ren Mengni Chen Yu Gu WEWATCH: BI-SCREEN VIDEO WATCHING EXPERIENCE ON SMART DEVICES 2014 IEEE 3rd International Conference on Cloud Computing and Intelligence Systems (CCIS) 2376-5933 265 270 20140000 rfj0161560/published_papers/28077584 Fuji Ren Yanqiu Li Liangfeng Xu Min Hu Xiaohua Wang FACE RECOGNITION BASED ON DOUBLE COMPLEMENTARY SPACE AND MULTI-DECISION CLASSIFICATION 2014 IEEE 3rd International Conference on Cloud Computing and Intelligence Systems (CCIS) 2376-5933 97 102 20140000 rfj0161560/published_papers/28077441 Changqin Quan XiaomingXu Fuji Ren Expression Image Preprocessing based on Wavelet Transform 2014 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS IEEE-ROBIO 2014 2374 2377 20140000 rfj0161560/published_papers/28075621 Haitao Yu Fuji Ren Automatic Role-Explicit Query Extraction: A Divide-and-Conquer System Leveraging on Users' Reformulating Behaviors IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING 1931-4981 9 1 62 70 20140100 10.1002/tee.21937 rfj0161560/published_papers/28073492 Xiao Sun Chongyuan Sun Fuji Ren NEW WORD DETECTION AND EMOTIONAL TENDENCY JUDGMENT BASED ON MIXED MODEL 2014 IEEE 3rd International Conference on Cloud Computing and Intelligence Systems (CCIS) 2376-5933 118 123 20140000 rfj0161560/published_papers/28065636 Changqin Quan Bin Zhang Fuji Ren JOINED CEPSTRAL DISTANCE FEATURES TWO-STAGE MULTI-CLASS CLASSIFICATION FOR EMOTIONAL SPEECH 2014 IEEE 3rd International Conference on Cloud Computing and Intelligence Systems (CCIS) 2376-5933 91 96 20140000 rfj0161560/published_papers/28065538 Xiaohua Wang Chao Jin Wei Liu Min Hu Fuji Ren FACE RECOGNITION BASED ON ADAPTIVE WEIGHTING AND FUZZY FUSION WITH SINGLE TRAINING SAMPLE 2014 IEEE 3rd International Conference on Cloud Computing and Intelligence Systems (CCIS) 2376-5933 259 264 20140000 rfj0161560/published_papers/28052910 Min Hu Xiaoyin Huang Xiaohua Wang Kun Li Fuji Ren Liangfeng Xu ADAPTIVE FACIAL EXPRESSION RECOGNITION METHOD BASED ON MBP AND HMOG FEATURE 2014 IEEE 3rd International Conference on Cloud Computing and Intelligence Systems (CCIS) 2376-5933 108 112 20140000 rfj0161560/published_papers/28052784 Xiaohua Wang Wei Huang Chao Jin Min Hu Fuji Ren FRUIT RECOGNITION BASED ON MULTI-FEATURE AND MULTI-DECISION 2014 IEEE 3rd International Conference on Cloud Computing and Intelligence Systems (CCIS) 2376-5933 113 117 20140000 rfj0161560/published_papers/28052638 Yu Gu Lianghu Quan Fuji Ren Jie Li Fast Indoor Localization of Smart Hand-held Devices Using Bluetooth 2014 10TH INTERNATIONAL CONFERENCE ON MOBILE AD-HOC AND SENSOR NETWORKS (MSN) 186 194 20140000 10.1109/MSN.2014.32 rfj0161560/published_papers/28051115 Xiao Sun Jia-qi Ye Fu-ji Ren Multi-strategy Based Sina Microblog Data Acquisition for Opinion Mining INTELLIGENT COMPUTING METHODOLOGIES 0302-9743 8589 551 560 20140000 rfj0161560/published_papers/28040098 Tian Chen Xin Yi Dandan Shen Fuji Ren Wei Wang Bingdong Yang IMAGE RESTORATION METHOD SELF-ADAPTIVE TO THE DIELECTRIC LAYER COLOR 2014 IEEE 3rd International Conference on Cloud Computing and Intelligence Systems (CCIS) 2376-5933 124 129 20140000 rfj0161560/published_papers/28038463 Yanwei Bao Changqin Quan Lijuan Wang Fuji Ren The Role of Pre-processing in Twitter Sentiment Analysis INTELLIGENT COMPUTING METHODOLOGIES 0302-9743 8589 615 624 20140000 rfj0161560/published_papers/28037019 Tian Chen Kai Liu Xin Yi Dandan Shen Wei Wang Fuji Ren Jun Liu A CONNECTED COMPONENT-BASED DISTRIBUTED METHOD FOR OVERLAPPING COMMUNITY DETECTION 2014 INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATION AND NETWORKING TECHNOLOGIES (ICCCNT null null 20140000 rfj0161560/published_papers/28034163 Changqin Quan Yao Qian Fuji Ren Dynamic Facial Expression Recognition based on K-order Emotional Intensity Model 2014 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS IEEE-ROBIO 2014 1164 1168 20140000 rfj0161560/published_papers/28033557 Jun Liu Qingqing Qian Xi Wu Fuji Ren Wei Wang Tian Chen TEST WRAPPER OPTIMIZATION TECHNIQUE USING BDF AND GA FOR 3D IP CORES 2014 INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATION AND NETWORKING TECHNOLOGIES (ICCCNT null null 20140000 rfj0161560/published_papers/26867442 Kazuyuki Matsumoto Fuji Ren Qingmei Xiao Minoru Yoshida Kenji Kita EMOTION PREDICTING METHOD BASED ON EMOTION STATE CHANGE OF PERSONAE ACCORDING TO THE OTHER'S UTTERANCES 2014 IEEE 3rd International Conference on Cloud Computing and Intelligence Systems (CCIS) 2376-5933 427 432 20140000 10.1109/CCIS.2014.7175773 rfj0161560/published_papers/17250378 Haotao Yu Fuji Ren Automatic Role-explicit Query Extraction: A Divide-and-Conquer System Leveraging on Users' Reformulating Behaviors This paper presents a system that can automatically extract role-explicit queries from a query log without any human intervention. The key idea underlying our system is as follows: We perform a divide-and-conquer process through differentiating the sessions in a query log as mul-sessions and sin-sessions. According to the session type, different approaches are proposed. We translate the contextual information in mul-sessions as indirect human wisdom to facilitate role-explicit query extraction on mul-sessions. Furthermore, leveraging on the role-explicit queries extracted from mul-sessions, we learn the simplified word n-gram role model (SWNR) to facilitate role-explicit query extraction on sin-sessions. The experimental results show that our proposed system is clearly favored by the indirect human wisdom hidden in mul-sessions and achieves a satisfactory performance, namely more than 79% in terms of different metrics. 本論文では，クエリ履歴からいかなる人の介入も無しで役割明瞭なクエリの自動抽出を可能にする．キーとなるアイディアは，分割と制圧処理をクエリログをmulセッションとsinセッションとした方法に基づく．セッションタイプによって，異なるアプローチが提案された．我々は，mulセッションにおいて，役割明瞭なクエリ抽出を促進するため，文脈情報を，間接的な人の知識として翻訳する．さらに，役割明瞭なクエリ抽出に，sinセッションにおいて，役割明瞭なクエリ抽出を促進するために学習された単純化単語n-gram役割モデル(SWNR)を利用する．実験結果は，提案システムがmulセッションにおいて隠れている間接的な人間の知識により有効に作用することが明らかとなり，異なる指標において，高精度な抽出を達成した． IEEJ Transactions on Electrical and Electronic Engineering (TEEE) 1931-4981 9 1 62 70 20140100 10.1002/tee.21937 rfj0161560/published_papers/17250377 Changqin Quan Fuji Ren Target Based Review Classification for Fine-Grained Sentiment Analysis Target based sentiment classification is able to provide more fine grained sentiment analysis. In this paper, we propose a similarity based approach for this problem. Firstly, a new measure of PMI-TFIDF by combining PMI (Pointwise mutual information) and TF-IDF (term frequencyinverse document frequency) is proposed to measure the association of words for extending related features for a given target. Then Polynomial Kernel (PK) method is applied to get the similarities between a review and the related features of different targets. The sentiment orientation of a review is determined by comparing their similarities with the target based opinion words. The comparisons between PMI and PMI-TFIDF showed that the extracted features that measured by PMI-TFIDF have closer association with the targets than the extracted features measured by PMI. And the association values measured by PMI-TFIDF showed better distinction between different features. The experiments also demonstrated the effectiveness and validation of the proposed approach on target based review classification, opinion words extraction, and target based sentiment classification. ターゲットベースの感情分析は，より粒度の細かい感情分析を実現できる．本論文では，類似度ベースのアプローチをこの問題に対して提案する．まず，PMIとTFIDFを組み合わせた新しい指標PMI-TFIDFを，単語と，関連する素性の関連付けに用いることを提案した．また，Polynomial Kernel 手法を，レビューと異なるターゲットに関連する素性における類似度を得るために適用した．評価実験の結果，PMI-TFIDFは，他の手法と比較して有効であることを示した． International Journal of Innovative Computing, Information and Control 1349-4198 10 1 257 268 20140100 rfj0161560/published_papers/17250318 Xiao Sun Fei Gao Fuji Ren MINING THE IMPACT OF SOCIAL NEWS ON THE EMOTIONS OF USERS BASED ON DEEP MODEL 2014 IEEE 3rd International Conference on Cloud Computing and Intelligence Systems (CCIS) 2376-5933 29 32 20140000 10.1109/CCIS.2014.7175698 rfj0161560/published_papers/29580977 Song Liu Fuji Ren Relation extraction from wikipedia articles by entities clustering Proceedings - 2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems, IEEE CCIS 2012 3 1491 1495 20131113 10.1109/CCIS.2012.6664633 2-s2.0-84890358249 rfj0161560/published_papers/28214059 Ji Li Fuji Ren A Hybrid Approach for Word Emotion Recognition IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING 1931-4981 8 6 616 626 20131100 10.1002/tee.21905 rfj0161560/published_papers/17250380 Fuji Ren Bo Li Qimei Chen Single Parameter Logarithmic Image Processing for Edge Detection IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS 1745-1361 E96D 11 2437 2449 20131100 10.1587/transinf.E96.D.2437 rfj0161560/published_papers/17250381 Y. M. Tang F. J. Ren UNIVERSAL TRIPLE I METHOD FOR FUZZY REASONING AND FUZZY CONTROLLER IRANIAN JOURNAL OF FUZZY SYSTEMS 1735-0654 10 5 1 24 20131000 rfj0161560/published_papers/17250384 Degen Huang Shanshan Wang Fuji Ren Creating Chinese-English Comparable Corpora IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS 0916-8532 E96D 8 1853 1861 20130800 10.1587/transinf.E96.D.1853 rfj0161560/published_papers/17250382 Kunxia Wang Lian Li Jing Yang Fuji Ren Speech Emotion Recognition Using a Novel Feature Set Speech emotion recognition has attracted attentions from increased number of researchers in Psychology,Computer science,Phonetics and related disciplines.This paper discusses combining multiple features forspeech emotion recognition to yield improved performance. It proposes using combination of multiplefeatures to improve recognition performance. Using ChineseLDC emotional database, the experimentresults show that a novel feature set of MFCC, fundamental frequency, MFCC, MFCC, energy,zero-crossing ratio and amplitude can get the best performance as 95% and 84% for emotional speechrecognition of four emotional state and six emotional state. Journal of Computational Information Systems 1553-9105 9 15 6097 6104 20130800 10.12733/jcisP0241 rfj0161560/published_papers/26754572 Elmarhoumy Mahmoud Fattah Mohamed Abdel Suzuki Motoyuki Ren Fuji A new modified centroid classifier approach for automatic text classification IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING 1931-4973 8 4 364 370 20130700 10.1002/tee.21867 rfj0161560/published_papers/17250390 Fuji Ren Mohammad Golam Sohrab Class-indexing-based term weighting for automatic text classification Information Sciences 0020-0255 236 1 109 125 20130701 10.1016/j.ins.2013.02.029 2-s2.0-84875715916 rfj0161560/published_papers/17250386 Yu Gu Yusheng Ji Jie Li Fuji Ren Baohua Zhao EMS: Efficient mobile sink scheduling in wireless sensor networks AD HOC NETWORKS 1570-8705 11 5 1556 1570 20130700 10.1016/j.adhoc.2012.11.010 rfj0161560/published_papers/17250385 Fuji Ren Changqin Quan Kazuyuki Matsumoto ENRICHING MENTAL ENGINEERING The new growing research eld of Affective Computing (AC) provides a newhorizon for quantitative analysis of human emotional states using IT techniques. In thispaper, a new academic system called nriching Mental Engineering (EME)&quot; is proposedfor the problem of mental health from the view of engineering. EME is being establishedas an academic discipline, by being keenly aware of the poverty of the mind from whichpeople living in modern society suffer. In EME, quantitative measurement of richness ofthe mind is regarded as a central technique. This is measured from the information likesubject physiological data, textual information, behavior, and tone of voice. Meanwhile,EME also systemizes external stimuli by an emotional energy function. The emotionenergy function is proposed to calculate a person&#039;s emotional stimuli at a certain pointfrom factors like choice of words, voice, facial expressions, physiological information, andbehavior. Furthermore, an application of EME is illustrated through an analysis of thedepressive tendencies in blogs. 近年の感情コンピューティングにおける分野では，人間の感情状態を，情報処理技術を用いて定量的に分析する手法が提案されている． 本研究では，豊心工学という新しい学問体系を確立し，その技術により，精神の健康の問題を解決することを目的とする．本論文では，豊心工学における分析手法の一例として，ブログにおけるうつ状態を分析するための手法を取り上げる． International Journal of Innovative Computing, Information and Control 1349-4198 9 8 3271 3286 20130700 rfj0161560/published_papers/24900333 Yu Gu Yusheng Ji Fuji Ren Jie Li Network Lifetime Optimization in Wireless Healthcare Systems: Understanding the Gap between Online and Offline Scenarios in Proceedings of IEEE International Conference on Communications (ICC 2013) 1550-3607 1774 1778 20130600 10.1109/ICC.2013.6654776 rfj0161560/published_papers/17250388 Fuji Ren Xin Kang Employing hierarchical Bayesian networks in simple and complex emotion topic analysis COMPUTER SPEECH AND LANGUAGE 0885-2308 27 4 943 968 20130600 10.1016/j.csl.2012.07.012 rfj0161560/published_papers/17250389 Elmarhoumy Mahmoud Fuji Ren A New Hybrid Model for Automatic Text Classification This paper introduces three novel pointes the first one is creating the proposed tfsc,dfsc algorithm to sort the terms in N-gram model which effected goodly on the classification performance. The second one is proposing a new distance similarity method for N-gram model where the new method solves the problem of the difference in representation lengths among classes and documents. The third one is establishing a hybrid Center Profile Vector (CPV) classification model based on the modified N-gram and centroid classifier models. The hybrid (CPV) classification model gain a higher classification accuarcy beteer than N-gram and centroid models as the paper will show in the evaluation result. 本論文は，N-gramモデルにおける用語のソートのためのtfsc, dfsc アルゴリズムを提案し，N-gramモデルのための新しい距離類似度尺度を文書のクラスごとの長さの違いの問題を解消するために提案した．また，N-gramと重心分類モデルに基づくハイブリッドCPV分類モデルを確立した．評価の結果，ハイブリッドCPV分類モデルは，N-gram重心モデルよりも高い正解率を示した． The Online Journal on Computer Science and Information Technology, OJCSIT 2090-4517 3 2 132 137 20130200 rfj0161560/published_papers/47033108 He Jiang Min Hu Hongbo Chen Kun Li Xiaohua Wang Fuji Ren Facial expression recognition based on multi-scale vector triangle IEEE Computer Society 2013 IEEE/SICE International Symposium on System Integration, SII 2013 82 87 20130000 10.1109/sii.2013.6776615 2-s2.0-84902525890 rfj0161560/published_papers/29570948 Qingli Zhang Ning An Kunxia Wang Fuji Ren Lian Li Speech emotion recognition using combination of features Proceedings of the 2013 International Conference on Intelligent Control and Information Processing, ICICIP 2013 523 528 20130000 10.1109/ICICIP.2013.6568131 2-s2.0-84883217867 rfj0161560/published_papers/28257862 Ning Liu Fuji Ren Xiao Sun Changqin Quan Microblogging Hot Events Emotion Analysis Based on Ren-CECps 2013 IEEE/SICE INTERNATIONAL SYMPOSIUM ON SYSTEM INTEGRATION (SII) 233 238 20130000 rfj0161560/published_papers/28250451 Changqin Quan Xiquan Wei Fuji Ren Combine Sentiment Lexicon and Dependency Parsing for Sentiment Classification 2013 IEEE/SICE INTERNATIONAL SYMPOSIUM ON SYSTEM INTEGRATION (SII) 100 104 20130000 rfj0161560/published_papers/28248613 Yao Qian Fuji Ren Changqin Quan A New Preprocessing Algorithm and Local Binary Pattern Based Facial Expression Recognition 2013 IEEE/SICE INTERNATIONAL SYMPOSIUM ON SYSTEM INTEGRATION (SII) 239 244 20130000 rfj0161560/published_papers/28242964 Xiaohua Wang Chao Jin Wei Liu Min Hu Liangfeng Xu Fuji Ren Feature Fusion of HOG and WLD for Facial Expression Recognition 2013 IEEE/SICE INTERNATIONAL SYMPOSIUM ON SYSTEM INTEGRATION (SII) 227 232 20130000 rfj0161560/published_papers/28226304 Lei Wang Fuji Ren Duoqian Miao A Novel Method for Recognizing Emotions of Weblog Sentences 2013 IEEE/SICE INTERNATIONAL SYMPOSIUM ON SYSTEM INTEGRATION (SII) 358 363 20130000 rfj0161560/published_papers/28224520 Zhong Huang Fuji Ren Facial Expression Recognition based on Active Appearance Model & Scale-Invariant Feature Transform 2013 IEEE/SICE INTERNATIONAL SYMPOSIUM ON SYSTEM INTEGRATION (SII) 94 99 20130000 rfj0161560/published_papers/28222312 Song Liu Yi-Xin Zhong Fu-Ji Ren Interactive Question Answering Based on FAQ CHINESE COMPUTATIONAL LINGUISTICS AND NATURAL LANGUAGE PROCESSING BASED ON NATURALLY ANNOTATED BIG DATA 0302-9743 8208 73 84 20130000 rfj0161560/published_papers/28209184 Changqin Quan Dongyu Wan Bin Zhang Fuji Ren Reduce the Dimensions of Emotional Features by Principal Component Analysis for Speech Emotion Recognition 2013 IEEE/SICE INTERNATIONAL SYMPOSIUM ON SYSTEM INTEGRATION (SII) 222 226 20130000 rfj0161560/published_papers/17250391 Quan Changqin Ren Fuji Finding Emotional Focus for Emotion Recognition at Sentence Level CHINESE JOURNAL OF ELECTRONICS 1022-4653 22 1 99 103 20130100 rfj0161560/published_papers/17250387 Mahmoud Elmarhoumy Mohamed Abdel Fattah Motoyuki Suzuki Fuji Ren A new modified centroid classifier approach for automatic text classification John Wiley and Sons Inc. IEEJ Transactions on Electrical and Electronic Engineering 1931-4981 8 4 364 370 20130000 10.1002/tee.21867 2-s2.0-84879275404 rfj0161560/published_papers/17250383 Ji Li Fuji Ren A hybrid approach for word emotion recognition John Wiley and Sons Inc. IEEJ Transactions on Electrical and Electronic Engineering 1931-4981 8 6 616 626 20130000 10.1002/tee.21905 2-s2.0-84885763976 rfj0161560/published_papers/17250379 Fuji Ren Ye Wu Predicting user-topic opinions in twitter with social and topical context Institute of Electrical and Electronics Engineers Inc. IEEE Transactions on Affective Computing 1949-3045 4 4 412 424 20130000 10.1109/T-AFFC.2013.22 2-s2.0-84897107175 rfj0161560/published_papers/17250396 Fuji Ren Changqin Quan Linguistic-based emotion analysis and recognition for measuring consumer satisfaction: an application of affective computing INFORMATION TECHNOLOGY & MANAGEMENT 1573-7667 13 4 321 332 20121200 10.1007/s10799-012-0138-5 rfj0161560/published_papers/17250394 Seiji Tsuchiya 土屋 誠司 Motoyuki Suzuki 鈴木 基之 Fuji Ren 任 福継 Hirokazu Watabe 渡部 広一 A Novel Estimation Method of Onomatopoeic Word's Feeling based on Mora Sequence Patterns and Felling Vectors モーラ系列と音象徴ベクトルによるオノマトペの印象推定法 オノマトペとは，擬音語や擬態語の総称である．文章で物事を表現する際に，より印象深く，豊かで臨場感のあるものにするために利用される．このようなオノマトペによる表現は，その言語を母語としている人であれば非常に容易に理解することができるため，国語辞書などにあえて記載されることは稀なケースである．また，記載があったとしても，使用されているオノマトペをすべて網羅して記載していることはない．そのため，その言語を母語としない人にとっては学習し難い言語表現である．そこで本稿では，オノマトペが表現する印象を推定する手法を提案する．日本語を対象に，オノマトペを構成する文字の種類やパターン，音的な特徴などを手がかりに，そのオノマトペが表現している印象を自動推定する．これにより，日本語を母語としない人に対して，日本語で表現されたオノマトペの理解の支援に繋がると考えられる．結果として，オノマトペの表記内のモーラ系列間の類似度とオノマトペの表記全体の音象徴ベクトルによる類似度を用いた手法が最も良い推定結果となり，参考値である人間同士の一致率の8割程度にまで近づくことができた． The Association for Natural Language Processing 一般社団法人 言語処理学会 Journal of Natural Language Processing 自然言語処理 1340-7619 19 5 367 379 20121200 10.5715/jnlp.19.367 rfj0161560/published_papers/26754573 Wang Wei Ren Fuji Suzuki Motoyuki A novel fast fractal image coding algorithm based on texture feature IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING 1931-4973 7 5 521 528 20120900 10.1002/tee.21768 rfj0161560/published_papers/17250397 Yiming Tang Fuji Ren Yanxiang Chen Differently implicational alpha-universal triple I restriction method of (1,2,2) type JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS 1004-4132 23 4 560 573 20120800 10.1109/JSEE.2012.00070 rfj0161560/published_papers/28612536 Guangwei Xu Ming Zhu Xin Luo Min Wu Fuji Ren An Unequal Clustering Algorithm Based on Energy Balance for Wireless Sensor Networks IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING 1931-4981 7 4 402 407 20120700 10.1002/tee.21747 rfj0161560/published_papers/17250508 大坂 京子 Shin-ichi Chiba 川村 亜以 Tetsuya Tanioka 千葉 進一 Yuko Yasuhara 谷岡 哲也 Fuji Ren 安原 由子 Chiemi Kawanishi 任 福継 冨士 翔子 川西 千恵美 高坂 要一郎 三船 和史 大森 美津子 Uses of the Electronic Nursing Management System, PSYCHOMS? , in Psychiatric Hospitals : Process, Current State, and Future Development 精神科アウトカム管理システム:PSYCHOMSの開発とその課題 The purpose of this article is to introduce the development process, mechanism, and functions of the PSYCHOMS? (Psychiatric Outcome Management System). Also, it reports on agenda for commercialization of research achievement of the PSYCHOMS?(regis-tered trademark, Takasaka et al.). Our team has been developing the PSYCHOMS? since 2006. This system has four major components: (1) clinical pathway and variance analyzing system, (2) nursing manager and staff&#039;s daily recording system, (3) nursing care planning system, and (4) nursing management support system. Also, any interdisciplinary team member can access the patient&#039;s information using this system. Therefore, each interdisciplinary team member&#039;s expertise can be utilized maximally for the patient&#039;s benefit and for improved total outcomes. It was then necessary to conduct a survey on what standard items were common in these hospitals for data base of the PSYCHOMS?. As future research problem using PSYCHOMS?, in order to improve psychiatry service, it is necessary to develop the database common to each psychiatric hospital. 香川大学医学部看護学科 Nursing Journal of Kagawa University 香川大学看護学雑誌 2189-2970 16 1 85 91 20120300 rfj0161560/published_papers/17250402 Kang Xin Ren Fuji Predicting Complex Word Emotions and Topics through a Hierarchical Bayesian Network CHINA COMMUNICATIONS 1673-5447 9 3 99 109 20120300 rfj0161560/published_papers/17250401 Kazuyuki Matsumoto Kenji Kita Ren Fuji Emotional Vector Distance Based Sentiment Analysis of Wakamono Kotoba CHINA COMMUNICATIONS 1673-5447 9 3 87 98 20120300 rfj0161560/published_papers/17250400 Jiang Peilin Wang Fei Ren Fuji Semi-Automatic Complex Emotion Categorization and Ontology Construction from Chinese Knowledge CHINA COMMUNICATIONS 1673-5447 9 3 28 37 20120300 rfj0161560/published_papers/47910618 Kazuyuki Matsumoto Kenji Kita Fuji Ren Emotion estimation from sentence using relation between Japanese slangs and emotion expressions Proceedings of the 26th Pacific Asia Conference on Language, Information and Computation, PACLIC 2012 343 350 20120000 2-s2.0-84883356570 rfj0161560/published_papers/29872477 Haitao Yu Fuji Ren Role-explicit query identification and intent role annotation ACM International Conference Proceeding Series 1163 1172 20120000 10.1145/2396761.2398416 2-s2.0-84871040489 rfj0161560/published_papers/29859228 Peilin Jiang Fei Wang Fuji Ren Nanning Zheng Emotion ontology construction from Chinese knowledge Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 0302-9743 7181 1 603 614 20120000 10.1007/978-3-642-28604-9_49 2-s2.0-84863382088 rfj0161560/published_papers/28642480 Yiming Tang Fuji Ren Yanxiang Chen UNIVERSAL TRIPLE I METHOD AND ITS APPLICATION TO TEXTUAL EMOTION POLARITY RECOGNITION QUANTITATIVE LOGIC AND SOFT COMPUTING 5 189 196 20120000 rfj0161560/published_papers/28630185 Fang Tian Caixia Yuan Fuji Ren Hyponym extraction from the web by bootstrapping IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING 1931-4981 7 1 62 68 20120100 10.1002/tee.21696 rfj0161560/published_papers/26867382 Kazuyuki Matsumoto Nobuhiro Yoshioka Kenji Kita Fuji Ren Judgment of Depressive Tendency from Emotional Fluctuation in Weblog. 本研究では，うつ傾向のあるブログ作者を検出するための手法を提案する．多くのブログ作者は，日々の健康状態や心的状態について，自分の言葉で書きつづる．本研究は，うつ傾向の検出が目的であるため，うつ傾向が顕著な場合に，どのような語が高頻度で出現するかについても，検討する必要がある．単語の感情極性と，その出現頻度の時間的変化に着目することで，あるブログ作者のブログと，類似する感情変化パターンを持つブログ作者のうつ傾向属性を同じ感情極性であると判別することにより，従来の単語素性に基づく機械学習手法よりも高精度なうつ傾向判別を目指す． IOS Press Advances in Knowledge-Based and Intelligent Information and Engineering Systems - 16th Annual KES Conference, San Sebastian, Spain, 10-12 September 2012 545 554 20120000 10.3233/978-1-61499-105-2-545 rfj0161560/published_papers/17250403 Fang Tian Caixia Yuan Fuji Ren Hyponym extraction from the web by bootstrapping John Wiley and Sons Inc. IEEJ Transactions on Electrical and Electronic Engineering 1931-4981 7 1 62 68 20120000 10.1002/tee.21696 2-s2.0-83155192867 rfj0161560/published_papers/17250399 Guangwei Xu Ming Zhu Xin Luo Min Wu Fuji Ren An unequal clustering algorithm based on energy balance for wireless sensor networks John Wiley and Sons Inc. IEEJ Transactions on Electrical and Electronic Engineering 1931-4981 7 4 402 407 20120000 10.1002/tee.21747 2-s2.0-84861662511 rfj0161560/published_papers/17250398 Wei Wang Fuji Ren Motoyuki Suzuki A novel fast fractal image coding algorithm based on texture feature John Wiley and Sons Inc. IEEJ Transactions on Electrical and Electronic Engineering 1931-4981 7 5 521 528 20120000 10.1002/tee.21768 2-s2.0-84865289439 rfj0161560/published_papers/17250395 Ji Li Fuji Ren Emotion recognition of weblog sentences based on an ensemble algorithm of multi-label classification and word emotions Institute of Electrical Engineers of Japan IEEJ Transactions on Electronics, Information and Systems 1348-8155 132 8 1362 1375 20120000 10.1541/ieejeiss.132.1362 2-s2.0-84867083416 rfj0161560/published_papers/17250393 Yuko Yasuhara Tamayama Chiho Kikukawa Kana Kyoko Osaka Tetsuya Tanioka Watanabe Narimasa Shin-ichi Chiba Miyoshi Masami Rozzano De Castro Locsin Fuji Ren Fuji Shoko Ogasawara Hiroshi Mifune Kazushi Required Function of the Caring Robot with Dialogue Ability for Patients with Dementia AIA International Advanced Information Institute 4 1 31 42 20120000 rfj0161560/published_papers/17250392 Shin-ichi Chiba Watanabe Narimasa Tetsuya Tanioka Yukie Iwasa Kyoko Osaka Yuko Yasuhara Chiemi Kawanishi Fuji Ren Ogasawara Hiroshi Mifune Kazushi Use of a Dialogue System to Retrieve the Memories of Elderly Individuals with Dementia and Determine the Physiologically Effective Evaluation Indicators International Journal of Advanced Intelligence (IJAI) 1883-3918 4 1 43 54 20120000 rfj0161560/published_papers/17250404 Yunong Wu Kenji Kita Fuji Ren Kazuyuki Matsumoto Xin Kang Exploring the importance of modification relation for emotional keywords annotation and emotion types recognition Intelligent Network and Systems Society International Journal of Intelligent Engineering and Systems 2185-3118 4 4 19 26 20111231 10.22266/ijies2011.1231.03 2-s2.0-84859614924 rfj0161560/published_papers/17250405 Yiming Tang Fuji Ren Yanxiang Chen Reversibility of FMT-Universal Triple I Method Based on IL Operator For the FMT-universal triple I method based on L I operator, its reversibility is investigated. Aiming at thecase that the second operator employs L I , the reversibility of FMT-universal triple I method is analyzed, where the firstoperator respectively takes seven different implication operators. It is found that the FMT-universal triple I methodseems excellent from the viewpoint of reversibility, and the second operator prefers to take L I in the universal triple Imethod. American Journal of Engineering and Technology Research 11 12 2763 2766 20111200 rfj0161560/published_papers/27917520 Yunong Wu Kenji Kita Fuji Ren Kazuyuki Matsumoto Xin Kang Modification Relations based Emotional Keywords Annotation using Conditional Random Fields The 4th International Conference on Intelligent Networks and Intelligent Systems (ICINIS2011) 81 88 20111100 10.1109/ICINIS.2011.29 rfj0161560/published_papers/27917519 Xin Kang Fuji Ren Sampling Latent Emotions and Topics in a Hierarchical Bayesian Network The 7th IEEE International Conference on Natural Language Processing and Knowledge Engineering (NLP-KE) 37 42 20111100 10.1109/NLPKE.2011.6138166 rfj0161560/published_papers/28307117 Huiwei Zhou Degen Huang Xiaoyan Li Yuansheng Yang Fuji Ren A Staged and Distributed Strategy for Bio-Entity Recognition INFORMATION-AN INTERNATIONAL INTERDISCIPLINARY JOURNAL 1343-4500 14 10 3527 3536 20111000 rfj0161560/published_papers/17250406 Huiwei Zhou Xiaoyan Li Degen Huang Yuansheng Yang Fuji Ren Voting-Based Ensemble Classifiers to Detect Hedges and Their Scopes in Biomedical Texts IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS 0916-8532 E94D 10 1989 1997 20111000 10.1587/transinf.E94.D.1989 rfj0161560/published_papers/17250407 Kazuyuki Matsumoto Fuji Ren Estimation of word emotions based on part of speech and positional information COMPUTERS IN HUMAN BEHAVIOR 0747-5632 27 5 1553 1564 20110900 10.1016/j.chb.2010.10.028 rfj0161560/published_papers/28321470 Manabu Sasayama Shingo Kuroiwa Fuji Ren Extracting Date/Time Expressions in Super-Function Based Japanese English Machine Translation ELECTRONICS AND COMMUNICATIONS IN JAPAN 1942-9533 94 4 44 54 20110400 10.1002/ecj.10262 rfj0161560/published_papers/28290219 Ye Yang Seiji Tsuchiya Fuji Ren Construction of an "Analects of Confucius" Knowledge Base Including Pragmatics Information ELECTRONICS AND COMMUNICATIONS IN JAPAN 1942-9533 94 4 1 8 20110400 10.1002/ecj.10335 rfj0161560/published_papers/17250408 Kazuyuki Matsumoto Hidemichi Sayama Yusuke Konishi Fuji Ren Analysis of Wakamono Kotoba Emotion Corpus and Its Application in Emotion Estimation Recently, there is a lot of research that aims to estimate emotion from text. The meaningsof linguistic expressions used in daily life vary depending on the context in which theyare used. That is to say, the information they contain presents ambiguities. Especiallythe so-called Wakamono Kotoba, Japanese language used by young people containssemantic ambiguities. Such words are usually not included in the existing dictionaries,making the meanings of these words difficult to be recognized. In this research projectwe proposed a method to estimate emotion from sentences that include Wakamono Kotobaby using statistical learning methods such as Na¨?ve Bayes method and Accumulationmethod. The existing research usually focused on learning methods using word or wordN-gram as features. However, such word-based features are insufficient to process WakamonoKotoba because Wakamono Kotoba often cannot be recognized as one semanticword by morphological analysis. In this paper we describe how we constructed the linguisticresource of Wakamono Kotoba emotion corpus to be used for emotion recognitionand introduce the features we obtained from statistical analysis. Our Wakamono Kotobaemotion corpus includes Japanese words used by young people to express emotion. Thesewere mainly gathered from Weblogs that were written by young people from their teensto their twenties. 本研究では，若者言葉感情コーパスを構築し，その分析をおこなう．そして，感情推定への応用について述べる．従来，発話文に感情タグを付与したコーパスは数あれど，文中に含まれる未知語(とくに若者言葉)に着目した研究はほとんどなかった．この理由として，基本的に若者言葉が辞書に載らない語として，軽視されてきたことがある．しかし，Web上のテキストデータが容易に入手できるようになった現在，Web上の話し言葉に近い口語文をリソースとしてテキストマイニングなどの研究をおこなう場面が確実に増加してきている．本研究で提案する若者言葉感情コーパスは，若者言葉を含んだ発話文をブログなどに含まれる発話文から抽出し，手作業により感情タグを付与していくことにより構築する．この作業自体は，人手による判断が重要であり，手作業で行う必要があるため，今後は自動構築手法についても研究していく必要がある． International Journal of Advanced Intelligence (IJAI) 1883-3918 3 1 1 24 20110300 rfj0161560/published_papers/29858570 Yiming Tang Fuji Ren Xiao Sun Yanxiang Chen Reverse universal triple I method of (1,1,2) type for the Lukasiewicz implication NLP-KE 2011 - Proceedings of the 7th International Conference on Natural Language Processing and Knowledge Engineering 23 30 20110000 10.1109/NLPKE.2011.6138164 2-s2.0-84863146420 rfj0161560/published_papers/29858540 Peilin Jiang Fuji Ren Fei Wang Nanning Zheng Complex emotion categorization and tagging for Chinese NLP-KE 2011 - Proceedings of the 7th International Conference on Natural Language Processing and Knowledge Engineering 334 339 20110000 10.1109/NLPKE.2011.6138220 2-s2.0-84863132513 rfj0161560/published_papers/29849744 Fuji Ren Robotics cloud and robotics school NLP-KE 2011 - Proceedings of the 7th International Conference on Natural Language Processing and Knowledge Engineering 1 8 20110000 10.1109/NLPKE.2011.6137767 2-s2.0-84857324867 rfj0161560/published_papers/29849732 Changqin Quan Fuji Ren Selecting clause emotion for sentence emotion recognition NLP-KE 2011 - Proceedings of the 7th International Conference on Natural Language Processing and Knowledge Engineering 194 198 20110000 10.1109/NLPKE.2011.6138193 2-s2.0-84857307355 rfj0161560/published_papers/29849699 Liping Mi Fuji Ren Hideo Araki Differences of Japanese kanji and kana during the memory processing NLP-KE 2011 - Proceedings of the 7th International Conference on Natural Language Processing and Knowledge Engineering 205 208 20110000 10.1109/NLPKE.2011.6138195 2-s2.0-84857274532 rfj0161560/published_papers/29849669 Fuji Ren Yixin Zhong Greetings from conference chairs NLP-KE 2011 - Proceedings of the 7th International Conference on Natural Language Processing and Knowledge Engineering null null 20110000 10.1109/NLPKE.2011.6138162 2-s2.0-84857243532 rfj0161560/published_papers/29844170 Mengsi Cao Guannan Fang Fuji Ren EEG-based emotion recognition in Chinese emotional words CCIS2011 - Proceedings: 2011 IEEE International Conference on Cloud Computing and Intelligence Systems 452 456 20110000 10.1109/CCIS.2011.6045108 2-s2.0-80055120579 rfj0161560/published_papers/29844147 Song Liu Fuji Ren Paragraph act based pragmatic information extraction in question answering CCIS2011 - Proceedings: 2011 IEEE International Conference on Cloud Computing and Intelligence Systems 153 157 20110000 10.1109/CCIS.2011.6045051 2-s2.0-80055102587 rfj0161560/published_papers/29840974 Ye Wu Fuji Ren Learning sentimental influence in twitter Proceedings - 2011 International Conference on Future Computer Sciences and Application, ICFCSA 2011 119 122 20110000 10.1109/ICFCSA.2011.34 2-s2.0-80052150529 rfj0161560/published_papers/28341280 Jun Wang Lei Li Fuji Ren AN IMPROVED METHOD OF EXTRACTING EMOTIONAL ATTRIBUTE OF RELATIONS BASED ON SYNTACTICAL ANALYSIS 2011 IEEE INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND INTELLIGENCE SYSTEMS 2376-5933 457 461 20110000 rfj0161560/published_papers/28334548 Xiao Sun De-Gen Huang Hai-Yu Song Fu-Ji Ren Chinese New Word Identification: A Latent Discriminative Model with Global Features JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY 1000-9000 26 1 14 24 20110100 10.1007/s11390-011-1107-x rfj0161560/published_papers/28317037 Wenjing Liu Yanquan Zhou Fuji Ren Text Clustering Based on the User Search Intention 2011 INTERNATIONAL CONFERENCE ON PHYSICS SCIENCE AND TECHNOLOGY (ICPST) 1875-3892 22 339 346 20110000 10.1016/j.phpro.2011.11.053 rfj0161560/published_papers/28300198 Ji Li Fuji Ren CREATING A CHINESE EMOTION LEXICON BASED ON CORPUS REN-CECPS 2011 IEEE INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND INTELLIGENCE SYSTEMS 2376-5933 80 84 20110000 rfj0161560/published_papers/28281543 Ye Liu Fuji Ren JAPANESE NAMED ENTITY RECOGNITION FOR QUESTION ANSWERING SYSTEM 2011 IEEE INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND INTELLIGENCE SYSTEMS 2376-5933 402 406 20110000 rfj0161560/published_papers/28269070 Jia Ma Fuji Ren DETECT AND TRACK THE DYNAMIC DEFORMATION HUMAN BODY WITH THE ACTIVE SHAPE MODEL MODIFIED BY MOTION VECTORS 2011 IEEE INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND INTELLIGENCE SYSTEMS 2376-5933 587 591 20110000 rfj0161560/published_papers/26867444 Kazuyuki Matsumoto Fuji Ren Construction of Wakamono Kotoba Emotion Dictionary and Its Application COMPUTATIONAL LINGUISTICS AND INTELLIGENT TEXT PROCESSING, PT I 0302-9743 6608 405 416 20110000 10.1007/978-3-642-19400-9_32 rfj0161560/published_papers/26867380 Yunong Wu Kenji Kita Fuji Ren Kazuyuki Matsumoto Xin Kang Exploring Emotional Words for Chinese Document Chief Emotion Analysis. Digital Enhancement of Cognitive Development, Waseda University Proceedings of the 25th Pacific Asia Conference on Language, Information and Computation, PACLIC 25, Singapore, December 16-18, 2011 597 606 20110000 rfj0161560/published_papers/26867378 Kazuyuki Matsumoto Kenji Kita Fuji Ren Emotion estimation of Wakamono Kotoba based on distance of word emotional vector. IEEE 7th International Conference on Natural Language Processing and Knowledge Engineering, NLPKE 2011, Tokushima, Japan, November 27-29, 2011 214 220 20110000 10.1109/NLPKE.2011.6138197 rfj0161560/published_papers/26754706 Motoyuki Suzuki Seiji Tsuchiya Fuji Ren A Novel Emotion Recognizer from Speech Using Both Prosodic and Linguistic Features KNOWLEDGE-BASED AND INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT I 0302-9743 6881 456 465 20110000 10.1007/978-3-642-23851-2_47 rfj0161560/published_papers/25877917 Shoko Fuji Mai Date Yuko Nagai Yuko Yasuhara Tetsuya Tanioka Fuji Ren Research on the possibility of humanoid robots to assist in medical activities in nursing homes and convalescent wards. IEEE 7th International Conference on Natural Language Processing and Knowledge Engineering(NLPKE) 459 463 20110000 10.1109/NLPKE.2011.6138243 rfj0161560/published_papers/17250410 Changqin Quan Fuji Ren Recognition of Word Emotion State in Sentences IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING 1931-4981 6 S1 S34 S41 20110000 10.1002/tee.20618 rfj0161560/published_papers/17250409 Xiao Sun Degen Huang Haiyu Song Fuji Ren Chinese New Word Identification: A Latent Discriminative Model with Global Features Chinese new words are particularly problematic in Chinese natural language processing. With the fast development of Internet and information explosion, it is impossible to get a complete system lexicon for applications in Chinese natural language processing, as new words out of dictionaries are always being created. The procedure of new words identification and POS tagging are usually separated and the features of lexical information cannot be fully used. A latent discriminative model, which combines the strengths of Latent Dynamic Conditional Random Field (LDCRF) and semi-CRF, is proposed to detect new words together with their POS synchronously regardless of the types of new words from Chinese text without being pre-segmented. Unlike semi-CRF, in proposed latent discriminative model, LDCRF is applied to generate candidate entities, which accelerates the training speed and decreases the computational cost. The complexity of proposed hidden semi-CRF could be further adjusted by tuning the number of hidden variables and the number of candidate entities from the Nbest outputs of LDCRF model. A new-word-generating framework is proposed for model training and testing, under which the definitions and distributions of new words conform to the ones in real text. The global feature called Global Fragment Features for new word identification is adopted. We tested our model on the corpus from SIGHAN-6. Experimental results show that the proposed method is capable of detecting even low frequency new words together with their POS tags with satisfactory results. The proposed model performs competitively with the state-of-the-art models. 中国語新しい単語の同定については，自然言語処理における重要な課題の一つであるが，多くの問題が残されている．本論文では，新しい単語の識別のため，グローバルフラグメントと呼ばれるグローバル機能をもつ潜在的識別モデルを活かした．実験により，提案したモデルの有効性を確かめることができた． Journal of Computer Science and Technology 1860-4749 26 1 14 24 20110100 10.1007/s11390-011-9411-z rfj0161560/published_papers/17250421 Changqin Quan Fuji Ren A blog emotion corpus for emotional expression analysis in Chinese COMPUTER SPEECH AND LANGUAGE 0885-2308 24 4 726 749 20101000 10.1016/j.csl.2010.02.002 rfj0161560/published_papers/27917523 Xin Kang Fuji Ren Yunong Wu Bottom up: Exploring Word Emotions for Chinese Sentence Chief Sentiment Classification Proc. IEEE International Conference on Natural Language Processing and Knowledge Engineering 1 5 20100800 10.1109/NLPKE.2010.5587793 rfj0161560/published_papers/17250411 Kenichi Mishina 三品 賢一 Seiji Tsuchiya 土屋 誠司 Motoyuki Suzuki 鈴木 基之 Fuji Ren 任 福継 An Improvement of Example-based Emotion Estimation Using Similarity between Sentence and each Corpus コーパスごとの類似度を考慮した用例に基づく感情推定手法の改善 発話文を感情ごとに分類したコーパスを構築し，入力文と最も類似度が高い発話文を含むコーパスの感情を推定結果として出力する用例ベースの感情推定手法が提案されている．従来手法ではコーパスを構築する際，発話テキストの収集者が個人個人で発話文の分類先を決定しているため，分類先を決定する基準が個々によってぶれてしまう．これにより，例えば``希望&#039;&#039;のコーパスの中に喜びの発話文が混じるといったことが起こり，推定成功率を下げてしまう．本稿ではこの問題を解決するため，コーパスごとにおける入力文の形態素列の出現回数を用いて，入力文とコーパスの類似度を定義する．そしてこの類似度を従来手法に導入した新たな類似度計算式を提案する．これにより，誤って分類されてしまった発話文の影響を緩和することができる．評価実験では従来手法と比べて成功率が 21.5 ポイント向上し，提案手法の有効性が確認できた． 言語処理学会 Journal of Natural Language Processing 自然言語処理 1340-7619 17 4 91 110 20100730 10.5715/jnlp.17.4_91 rfj0161560/published_papers/17250413 Changqin Quan Fuji Ren Sentence Emotion Analysis and Recognition Based on Emotion Words Using Ren-CECps Emotion recognition on text has wide applications. In this study, we make an analysis onsentence emotion based on emotion words using Ren-CECps (a Chinese emotion corpus).Some classification methods (including C4.5 decision tree, SVM, NaiveBayes, ZEROR,and DecisionTable) have been compared. Then a supervised machine learning method(Polynomial kernel method) is proposed to recognize the eight basic emotions (Expect,Joy, Love, Surprise, Anxiety, Sorrow, Angry and Hate). Using Ren-CECps, we get theemotion lexicons for the eight basic emotions. Polynomial kernel (PK) method is usedto compute the similarities between sentences and the eight emotion lexicons. Then theexperiential knowledge derived from Ren-CECps is used to recognize whether the eightemotion categories are present in a sentence. The experiments showed promising results. テキストからの感情認識は幅広い分野にアプリケーションが期待できる．本研究では，Ren-CECps(中国語感情コーパス)を用いて，感情語に基づく文感情の分析を行う．C4.5決定木，SVM，ナイーブベイズ，ZEROR，決定表等の分類手法を比較し，さらに，8種類の感情(期待，喜び，愛，驚き，不安，悲しみ，怒り，憎しみ)認識のために，教師あり機械学習法(多項式カーネル法)を提案した．Ren-CECpsを用いて，8種類の基本感情毎に感情辞書を作成し，多項式カーネル(PK)法を使って，文と8種類の感情辞書の間の類似度を比較した．そして，Ren-CECpsから導出した知見を用いて，8種類の感情カテゴリが文に表出されているかどうかを認識した．実験結果は大変期待できるものだった． International Journal of Advanced Intelligence (IJAI) 1883-3918 2 1 105 117 20100700 rfj0161560/published_papers/17250412 Fuji Ren From Cloud Computing to Language Engineering, Affective Computing and Advanced Intelligence This paper discusses the definition, intension, and extension of language engineering, affective computing, and advanced intelligence, as well as the relationship among the three fields. By reporting the latest progress and future prospects, we attempt to unify language engineering and affective computing with the concept of advanced intelligence.``Cloud computing&#039;&#039; has recently become a very popular topic. Instead of discussing the concept and intension of cloud computing, this paper focuses on how progress in language engineering, including natural language processing and natural language understanding, will enormously aid in the achievement of cloud computing. It particularly deals with how to construct clouds, how to sweep clouds, and how to predict and exploit clouds.Another concept discussed in this paper is ``affective computing&#039;&#039;. To a large extent, this is a breakthrough in advanced intelligence. Here, it refers to a high fusion of natural and artificial intelligence, and depends on the emotional capacity entrusted to the computer, including the capability of affective recognition and affective generation. 本論文では，言語工学，感性工学，先進的知性の定義，目的，展望，そして3つの分野の関係性について考察する．また，最新の進捗や将来の見通しから，言語工学と感性工学を先進的知性というコンセプトでひとつに結びつけることを試みる．クラウドコンピューティングの概念や目的を議論するのではなく，言語工学(自然言語処理及び自然言語理解を含む)の進歩が，クラウドコンピューティングの成果にどのように大きく貢献できるかに焦点をあてる． 本論文では，クラウドの構築法，削除法，予測・利用法を中心に，感性工学についても議論する．また，クラウドコンピューティングは，感情認識及び感情創生等，コンピュータに委ねられた感情的な能力による，自然と人工知能の高度な融合という意味で，先進的知能においても飛躍的な進歩である． International Journal of Advanced Intelligence (IJAI) 1883-3918 2 1 1 14 20100700 rfj0161560/published_papers/17250415 Changqin Quan Fuji Ren Tingting He SENTIMENTAL CLASSIFICATION BASED ON KERNEL METHODS AND DOMAIN SEMANTIC ORIENTATION DICTIONARIES INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL 1349-418X 6 6 2681 2690 20100600 rfj0161560/published_papers/17250414 Xiao Sun Degen Huang Fuji Ren Detecting New Words from Chinese Text Using Latent Semi-CRF Models IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS 0916-8532 E93D 6 1386 1393 20100600 10.1587/transinf.E93.D.1386 rfj0161560/published_papers/17250422 Fang Tian Fuji Ren Learning Relation Instances for Chinese Domain Ontology from the Web IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING 1931-4981 5 2 188 194 20100300 10.1002/tee.20516 rfj0161560/published_papers/17250420 Jia Ma Motoyuki Suzuki Fuji Ren SPOKESPERSON DETECTION METHOD FOR AUTONOMOUS ROBOT IN COMPLEX COMMUNICATION ENVIRONMENT, BASED ON IMAGE PROCESSING INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL 1349-4198 6 3B 1515 1524 20100300 rfj0161560/published_papers/17250419 Caixia Yuan Xiaojie Wang Fuji Ren EXPLOITING LEXICAL INFORMATION FOR FUNCTION TAG LABELING INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL 1349-4198 6 3B 1471 1480 20100300 rfj0161560/published_papers/17250418 Liping Mi Xin Luo Fuji Ren AN ERP RESEARCH ON CHINESE JAPANESE LEARNERS&apos; PROCESSING OF JAPANESE KANJI AND SENTENCES INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL 1349-4198 6 3B 1491 1500 20100300 rfj0161560/published_papers/17250417 Ai Hakamata Fuji Ren Seiji Tsuchiya HUMAN EMOTION MODEL BASED ON DISCOURSE SENTENCE FOR EXPRESSION GENERATION OF CONVERSATION AGENT INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL 1349-4198 6 3B 1537 1548 20100300 rfj0161560/published_papers/47862155 Changqin Quan Fuji Ren An exploration of features for recognizing word emotion Coling 2010 - 23rd International Conference on Computational Linguistics, Proceedings of the Conference 2 922 930 20100000 2-s2.0-80053422019 rfj0161560/published_papers/29826859 Changqin Quan Tingting He Fuji Ren Emotion analysis in blogs at sentence level using a Chinese emotion corpus Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering, NLP-KE 2010 null null 20100000 10.1109/NLPKE.2010.5587790 2-s2.0-78649308923 rfj0161560/published_papers/29826839 Ye Wu Fuji Ren Improving emotion recognition from text with fractionation training Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering, NLP-KE 2010 null null 20100000 10.1109/NLPKE.2010.5587800 2-s2.0-78649299436 rfj0161560/published_papers/29826823 Takuo Henmi Shengyang Huang Fuji Ren Wisdom media "CAIWA Channel" based on natural language interface agent Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering, NLP-KE 2010 null null 20100000 10.1109/NLPKE.2010.5587862 2-s2.0-78649290182 rfj0161560/published_papers/29826817 Yasushi Katsura Kazuyuki Matsumoto Fuji Ren Flexible English writing support based on negative-positive conversion method Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering, NLP-KE 2010 null null 20100000 10.1109/NLPKE.2010.5587778 2-s2.0-78649288880 rfj0161560/published_papers/29826813 Xiaodong Liu Fuji Ren Caixia Yuan Use relative weight to improve the kNN for unbalanced text category Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering, NLP-KE 2010 null null 20100000 10.1109/NLPKE.2010.5587799 2-s2.0-78649287985 rfj0161560/published_papers/29826769 Michihiro Jinnai Yukio Akashi Shinsuke Nakaya Fuji Ren Minoru Fukumi Recognition of abnormal vibrational responses of signposts using the two-dimensional geometric distance and Wilcoxon test Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering, NLP-KE 2010 null null 20100000 10.1109/NLPKE.2010.5587837 2-s2.0-78649262406 rfj0161560/published_papers/29826734 Liping Wu Song Liu Fuji Ren Chinese patent retrieval based on the pragmatic information Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering, NLP-KE 2010 null null 20100000 10.1109/NLPKE.2010.5587776 2-s2.0-78649242554 rfj0161560/published_papers/29826733 Haitao Yu Fuji Ren Degen Huang Lishuang Li Designing effective web mining-based techniques for OOV translation Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering, NLP-KE 2010 null null 20100000 10.1109/NLPKE.2010.5587807 2-s2.0-78649242551 rfj0161560/published_papers/29826731 Jun Wang Lei Li Fuji Ren An improved method of keywords extraction based on short technology text Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering, NLP-KE 2010 null null 20100000 10.1109/NLPKE.2010.5587797 2-s2.0-78649240334 rfj0161560/published_papers/29826723 Ling Xia Fuji Ren Pragmatic analysis based query expansion for Chinese Cuisine QA Service System Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering, NLP-KE 2010 null null 20100000 10.1109/NLPKE.2010.5587785 2-s2.0-78649237735 rfj0161560/published_papers/29826719 Cheng Wang Changqin Quan Fuji Ren Maximum entropy based emotion classification of Chinese blog sentences Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering, NLP-KE 2010 null null 20100000 10.1109/NLPKE.2010.5587798 2-s2.0-78649237316 rfj0161560/published_papers/28969879 Changqin Quan Fuji Ren Automatic Annotation of Word Emotion in Sentences Based on Ren-CECps LREC 2010 - SEVENTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION null null 20100000 rfj0161560/published_papers/26754700 Motoyuki Suzuki Masashi Adachi Minoru Kohata Akinori Ito Shozo Makino Fuji Ren An HMM-based segment quantizer and its application to low bit rate speech coding Proc. the 20th International Congress on Acoustics 5 3877 3880 20100000 2-s2.0-84869134650 rfj0161560/published_papers/26754555 Wei Wang Motoyuki Suzuki Fuji Ren Texture image retrieval based on gray-primitive co-occurrence matrix. IEEE Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering, NLPKE 2010, Beijing, China, August 21-23, 2010 1 4 20100000 10.1109/NLPKE.2010.5587830 rfj0161560/published_papers/25877921 Yuko Nagai Tetsuya Tanioka Shoko Fuji Yuko Yasuhara Sakiko Sakamaki Narimi Taoka Rozzano C. Locsin Fuji Ren Kazuyuki Matsumoto Needs and challenges of care robots in nursing care setting: A literature review. IEEE Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering(NLPKE) 1 4 20100000 10.1109/NLPKE.2010.5587815 rfj0161560/published_papers/25877919 Mai Date Tetsuya Tanioka Yuko Yasuhara Kazuyuki Matsumoto Yukie Iwasa Chiemi Kawanishi Eri Hirai Fuji Ren The present conditions, problems and future direction of the server-controlled clinical pathway system development in psychiatric hospitals. IEEE Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering(NLPKE) 1 8 20100000 10.1109/NLPKE.2010.5587812 rfj0161560/published_papers/17250425 Zhang Hong Ren Fuji Chinese POS Tagging Using Restricted Maximum Entropy Model CHINESE JOURNAL OF ELECTRONICS 1022-4653 19 1 39 42 20100100 rfj0161560/published_papers/17250424 Seiji Tsuchiya Eriko Yoshimura Hirokazu Watabe Tsukasa Kawaoka Fuji Ren An extraction technique of place-related words based on an association mechanism We are conducting research on the development of an intelligent robot that can converse naturally with people. Humans manipulate smooth communications by retrieving, understanding and judging several common sense concepts from conversations consciously or unconsciously. In this paper, we focus on the expression of the place from such common sense concepts. We propose a technique which is able to associate the person and thing existing in the place and the event done on the place from the word expressing the place based on an association mechanism. F-measure of the place subject and place object was 88.0&amp;#37; and 84.3&amp;#37; respectively. The average F-measure of both was 86.2&amp;#37;. Moreover, result of proposed technique was 37.7&amp;#37; better than result of a traditional technique which used case frame dictionary. These results show that proposed technique was effective and the place judgement system has achieved a judgement similar to human&#039;s sense. 本論文では常識的概念の中でも場所表現に焦点をあてる．人物とその場所に存在する物，そしてその場所で起こった出来事を，連想メカニズムに基づいて，場所を表現する言葉から関連づける技術を提案する．場所主体語と場所目的語のF値は88.0%, 84.3%，両者のF値平均は86.2%であった．さらに，提案手法を用いた結果は37.7%で格フレーム辞書を用いた既存手法より良かった．これらの結果から，提案手法は効果的で，場所判断システムは人の感覚に近い判断をしたことがわかった． International Journal of Knowledge Engineering and Soft Data Paradigms 1755-3229 2 1 4 14 20100100 10.1504/IJKESDP.2010.030463 rfj0161560/published_papers/17250423 Zhi Teng Ye Liu Fuji Ren Create Special Domain News Collections through Summarization and Classification In this paper, we present a novel technique to create a special domain news collection system from really simple syndication (RSS) news sites through summarization and classification. The main aim of this research is to build a self-sufficient news collection system in disaster domain. In this news collection system, we used new strategies and algorithms to mine news from RSS sites, recognized and collected disaster news using automatic summarization and classification. The most striking dissimilarity between our study and previous work is that we use a novel summary approach to improve the classification performance. This paper discusses the effect of summarization and classification model on system performance. Results show that our method yields a better performance in this field. 本論文では，要約と分類を活かしたニュースサイトからの特別なドメインのニュース収集システムの作成手法を提案した．その主な目的は，災害ドメインにおけるニュース収集システムを構築することである．このニュース収集システムでは，RSSサイトからニュースマイニングに新しい戦略とアルゴリズムを使用し認識し，自動要約と分類を活かして，災害ニュースを集めた．システムのパフォーマンス上の要約と分類モデルの効果について実験を行った．その結果により提案手法の有効性を確認した． IEEJ Transactions on Electrical and Electronic Engineering (TEEE) 1931-4973 5 1 56 61 20100101 10.1002/tee.20493 rfj0161560/published_papers/17250416 Ye Liu Zhi Teng Fuji Ren A practical sightseeing question answering system based on integrated knowledge-base Institute of Electrical Engineers of Japan IEEJ Transactions on Electronics, Information and Systems 1348-8155 130 4 580 588 20100000 10.1541/ieejeiss.130.580 2-s2.0-77953553293 rfj0161560/published_papers/17250426 Xiao Sun Degen Huang Fuji Ren Chinese New Word Detection and POS Tagging Based on DUCRF In Chinese language processing, new words are particularly problematic. It is impossible to get a complete dictionary as new words call always be created. We proposed a unified Dual-chain unequal-state CRF model to detect new words together with their part-of-speech in Chinese texts regardless of the word types such as compound words, abbreviation, person names, etc. The Dual-chain Unequal-state CRF model has two stale chains with unequal number of states. The unequal state chains could model flexible hierarchical lexical information for both Chinese new word detection and POS tagging, and also integrate complex context features like the global information. The experimental results show that the proposed method is capable of detecting even low frequency new words and their parts-of-speech synchronously with satisfactory results. Information : an International Interdisciplinary Journal 1343-4500 12 6 1349 1357 20091200 rfj0161560/published_papers/17250431 Xiao Sun Degen Huang Fuji Ren Chinese Lexical Analysis Based on Hybrid MMSM Model In this paper, we describe a scheme for Chinese word segmentation and POS tagging which integrates the character-based and word-based information in the directed graph generated by the MMSM-model. Word-level information is effective for analysis of known words, while character-level information is useful for analysis of unknown, words. A Hidden semi-CRF model is proposed for the unknown words detection. and POS tagging. The proposed Hidden semi-CRF has two state chains with unequal states which Can perform segmentation and POS tagging of unknown words simultaneously. The hybrid model was evaluated using the test data from SIGHAN-6 and achieved higher F-score than the stage-of-the-art models. International Journal of Innovative Computing, Information and Control 1349-4198 5 12 4523 4530 20091100 rfj0161560/published_papers/17250430 Peilin Jiang Fuji Ren Nanning Zheng A New Approach to Data Clustering Using a Computational Visual Attention Model Cluster analysis plays an important role in many respects such as knowledge discovery, data mining and information retrieval. In this paper, we propose a newapproach inspired by the early vision system of the primate for data clustering. Humanbeings are able to locate key points that contains more important information in a complex scene. To realize this function, our approach uses a computational visual attentionmodel that selects and extracts salient areas in visual field by local difference features.Then the extracted salient areas in original visual field can be regarded as the clusters inthe data feature space. Without prior knowledge, this attention model based approach canidentify data clusters with arbitrary shapes at different scales. Finally our algorithm hasbeen tested in the evaluation experiments on the benchmark datasets to show its competitive performance. International Journal of Innovative Computing, Information and Control 1349-4198 5 12 4597 4606 20091100 rfj0161560/published_papers/17250429 Lei Yu Xiangyang Liu Fuji Ren Peilin Jiang Learning to Classify Semantic Orientation on On-line Document As a result of advance in Internet technology, automatic text sentimentclassification for a large amount of on-line documents in the form of surveys or calledreviews becomes attractive. The task of sentiment classification is to construct an effectiveclassifier with the knowledge data of vocabularies semantic meaning and the relationshipsbetween the vocabularies to determine the sentiment orientation of a document. In thispaper, one method combining HowNet knowledge base with a robust supervised sentimentclassifier is proposed. It computes semantic similarity of characteristic words and phrasesby using HowNet. Sentiment features of text are divided into characteristic words andphrases, and they adopt the positive and negative terms as features of sentiment classifier.Finally in the experiment, evaluation results show the effectiveness of our method. International Journal of Innovative Computing, Information and Control 1349-4198 5 12 4637 4646 20091100 rfj0161560/published_papers/17250428 Michihiro Jinnai Satoru Tsuge Shingo Kuroiwa Fuji Ren Minoru Fukumi New Similarity Scale to Measure the Difference in Like Patterns with Noise A new similarity scale called the Geometric Distance, that numerically evaluates the degree of likeness between two patterns is proposed. Traditionally, the similarity scales known as the Euclidean distance and cosine similarity have been widely used to measure likeness. Traditional methods do not perform well in the presence of noise or pattern distortions. In this paper, a new mathematical model for a similarity scale is proposed which overcomes these limitations of the earlier models, while improving the overall recognition accuracy. Experiments in speech vowel recognition were carried out under various SNR levels in a variety of noisy environments. In all cases a significant improvementin recognition accuracy is demonstrated, with the improvement most pronounced in the noisiest conditions. In fact, at a SNR of 5 dB in a subway, the recognition accuracyimproved from 65% to 75% and at 20 dB SNR from 98.4% to 99.6% over the MFCC method. Numerical modeling of simple patterns is used to demonstrate the principles behind the Geometric Distance. 類似性の度合いを数値的に評価するために幾何学的尺度と呼ぶ新しい類似性尺度を提案する．通常，類似性の尺度はユークリッド距離やコサイン類似度が使用されているが，ノイズや歪みの存在する場合には，上手く機能しない．本論文は，それらの欠点を克服する類似性尺度の新しい数学的モデルを提案し，認識精度が改善できた．様々なノイズが含まれる母音認識で実験を行い，全ての場合でかなりの改善効果が見られ，MFCC法よりも優れていることが判った． International Journal of Advanced Intelligence (IJAI) 1883-3918 1 1 59 88 20091100 rfj0161560/published_papers/17250427 Ling Xia Zhi Teng Fuji Ren Question Classification for Chinese Cuisine Question Answering System IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING 1931-4981 4 6 689 695 20091100 10.1002/tee.20466 rfj0161560/published_papers/29062590 Yuan Caixia Ren Fuji Accurate Learning for Chinese Function Tags from Lexical Evidence CHINESE JOURNAL OF ELECTRONICS 1022-4653 18 4 599 604 20091000 rfj0161560/published_papers/17250432 Liping Mi Fuji Ren 任 福継 Facilitative Effect of the Picture Superiority Effect During Encoding and Retrieval In order to investigate the picture superiority effect, we compared the ERP between picture combined word (picture-word) and pure word (word) during encoding and retrieval. During encoding, FN400 was more negative and lasted longer for picture-word than for word. Late positive component (LPC) was more positive and distributed broadly for word compared to picture-word. During retrieval, old picture-word elicited remarkably FN400 familiarity effect and parietal old/new effect compared to old word. We suggested that simultaneous image and verbal encoding of picture-word elicited better and faster recollection compared to word during the memory test. Our results demonstrated that the picture superiority effect was related to the ability of pictures enhancing encoding and facilitating recollection. Science & Technology Review 27 20 80 86 20091000 rfj0161560/published_papers/17250434 Changqin Quan Fuji Ren Tingting He Word Sense Indicators: Effective Feature for Chinese Word Sense Disambiguation INFORMATION-AN INTERNATIONAL INTERDISCIPLINARY JOURNAL 1343-4500 12 5 1157 1164 20090900 rfj0161560/published_papers/17250433 Peilin Jiang Lei Yu Fuji Ren AN CLUSTERING APPROACH FOR COMPLEX EMOTION RELATED CATEGORIZATION An affective computing, as a branch of artificial intelligence, attracts attention as a popular growing filed with many applications insofar as information retrieval, e-learning and human computer interaction. But until now the fine-grained theory of emotion is still a challenge. In this paper, a novel method to analyze emotion related category of contemporary Chinese. ICIC Express Letters 1881-803X 3 3 265 270 20090900 rfj0161560/published_papers/17250437 Nadira Begum Mohamed Abdel Fattah Fuji Ren AUTOMATIC TEXT SUMMARIZATION USING SUPPORT VECTOR MACHINE INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL 1349-4198 5 7 1987 1996 20090700 rfj0161560/published_papers/17250441 Xiao-Ying Tai Li-Dong Wang Qin Chen Ren Fuji Kita Kenji A new method of medical image retrieval based on colortexture correlogram and gti model International Journal of Information Technology and Decision Making 0219-6220 8 2 239 248 20090600 10.1142/S0219622009003363 2-s2.0-67749135450 rfj0161560/published_papers/17250439 Xiao Sun Degen Huang Fuji Ren Chinese Lexical Analysis Based on Hidden Semi-CRF In order to solve problems of the Chinese word segmentation and POS tagtaggingwhich are still existing in Chinese lexical analysis, a Hidden semi-CRF model, whichhas two chains of states with unequal number of states, is proposed for the Chinese lexicalanalysis. The Hidden semi-CRF detects the words together with their part-of-speech reregardlesswhether the words are in the system dictionary or not. A new-words-generatingframework is also built for training and testing, under which the definition and distridistributionof the new words conforms to the characteristic of the ones in real text. Theproposed framework enhances the performance of new words detecting and POS tagging,so that the overall precision of the system for Chinese lexical analysis could be furtherincreased. The experiment results show that the proposed method is capable of detectingeven low frequency new words, which in return increases the overall precision of Chineseword segmentation and POS tagging in Chinese lexical analysis. ICIC Express Letters, An International Journal of Research and Surveys 3 2 177 182 20090600 rfj0161560/published_papers/17250438 Yun Li Kaiyan Huang Fuji Ren 任 福継 Yixin Zhong Wikipedia Dased Semantic Related Chinese Words Exploring and Relatedness Computing This paper introduces our way of finding semantic related Chinese word pairs from the open encyclopedia Wikipedia and analyzing the degree of semantic relations. Almost 50,000 structured documents are collected from Wikipedia pages. Then considering of hyperlinks and text overlaps etc., about 400,000 semantic related pairs are employed. We roughly measured the semantic relatedness using the position and frequency information in the documents. With comparing experiment on data sets with different degrees of semantic relations using some other classic algorithms, we analyze the reliability of our measures and other properties. Journal of Beijing University of Posts and Telecommunications 32 3 109 112 20090600 rfj0161560/published_papers/17250440 Ye Yang Peilin Jiang Seiji Tsuchiya Fuji Ren EFFECT OF USING PRAGMATICS INFORMATION ON QUESTION ANSWERING SYSTEM OF ANALECTS OF CONFUCIUS INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL 1349-4198 5 5 1201 1212 20090500 rfj0161560/published_papers/17250446 Hong Zhang Fuji Ren Negative Expression Translation for Japanese and Chinese Machine Translation System INFORMATION-AN INTERNATIONAL INTERDISCIPLINARY JOURNAL 1343-4500 12 2 247 257 20090300 10.1109/NLPKE.2008.4906788 rfj0161560/published_papers/17250445 Ye Wu Fuji Ren Emotion Recognition Based on Negative Words and Pattern Matching for Chinese Negative Sentences INFORMATION-AN INTERNATIONAL INTERDISCIPLINARY JOURNAL 1343-4500 12 2 259 267 20090300 rfj0161560/published_papers/17250444 Ye Yang Peilin Jiang Fuji Ren The Effects of a Classic Self-Learning System Utilizing Pragmatics Information and Topic INFORMATION-AN INTERNATIONAL INTERDISCIPLINARY JOURNAL 1343-4500 12 2 359 368 20090300 rfj0161560/published_papers/17250443 Kazuyuki Matsumoto Junko Matsumoto Fuji Ren Retrieval Method of Example Sentence for Intelligent English Composition Support System INFORMATION-AN INTERNATIONAL INTERDISCIPLINARY JOURNAL 1343-4500 12 2 377 386 20090300 rfj0161560/published_papers/17250442 Li Yun Huang Kaiyan Ren Fuji Zhong Yixin Exploring Words with Semantic Relations from Chinese Wikipedia INFORMATION-AN INTERNATIONAL INTERDISCIPLINARY JOURNAL 1343-4500 12 2 439 449 20090300 rfj0161560/published_papers/17250453 Fuji Ren Affective Information Processing and Recognizing Human Emotion Electronic Notes in Theoretical Computer Science 1571-0661 225 C 39 50 20090102 10.1016/j.entcs.2008.12.065 2-s2.0-58149301528 rfj0161560/published_papers/17250452 David B. Bracewell Jiajun Yan Fuji Ren Shingo Kuroiwa Category Classification and Topic Discovery of Japanese and English News Articles Electronic Notes in Theoretical Computer Science 1571-0661 225 C 51 65 20090102 10.1016/j.entcs.2008.12.066 2-s2.0-58149299461 rfj0161560/published_papers/17250451 Fuji Ren David B. Bracewell Advanced Information Retrieval Electronic Notes in Theoretical Computer Science 1571-0661 225 C 303 317 20090102 10.1016/j.entcs.2008.12.082 2-s2.0-58149287866 rfj0161560/published_papers/17250449 Jiajun Yan David B. Bracewell Fuji Ren Shingo Kuroiwa Integration of Multiple Classifiers for Chinese Semantic Dependency Analysis Electronic Notes in Theoretical Computer Science 1571-0661 225 C 457 468 20090102 10.1016/j.entcs.2008.12.092 2-s2.0-58149305577 rfj0161560/published_papers/47879194 Caixia Yuan Fuji Ren Xiaojie Wang Accurate learning for Chinese function tags from minimal features Association for Computational Linguistics (ACL) ACL-IJCNLP 2009 - Joint Conf. of the 47th Annual Meeting of the Association for Computational Linguistics and 4th Int. Joint Conf. on Natural Language Processing of the AFNLP, Proceedings of the Conf. 54 62 20090000 10.3115/1667884.1667893 2-s2.0-84859885719 rfj0161560/published_papers/47827137 Changqin Quan Fuji Ren Construction of a blog emotion corpus for Chinese emotional expression analysis Association for Computational Linguistics (ACL) EMNLP 2009 - Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: A Meeting of SIGDAT, a Special Interest Group of ACL, Held in Conjunction with ACL-IJCNLP 2009 1446 1454 20090000 10.3115/1699648.1699691 2-s2.0-79955162007 rfj0161560/published_papers/37462986 Kuroiwa Shingo Tsuge Satoru Ren Fuji Fuzzy Cluster Analysis and its Evaluation Method(<Special Issue>BIOMETRICS AND ITS APPLICATIONS) Recently, Distributed Speech Recognition (DSR) systems are widely deployed in Japanese cellular telephone networks. In these systems, personal authentication with voice is strongly desired. In this paper, we present several speaker recognition techniques developed in the University of Tokushima for Distributed Speaker Identification/Verification (DSI/DSV) systems. Especially, we present recent progress on a non-parametric speaker recognition system that is robust to quantization in the distributed systems comparing with conventional speaker recognition systems based on Gaussian Mixture Model (GMM). Evaluation results using the Japanese de facto standard speaker recognition corpus and CCC Speaker Recognition Evaluation 2006 data developed by the Chinese Corpus Consortium (CCC) show higher performance of the proposed method than GMM and VQ-distortion in the European Telecommunications Standards Institute (ETSI) DSR standard environment. Biomedical Fuzzy Systems Association バイオメディカル・ファジィ・システム学会 International Journal of Biomedical Soft Computing and Human Sciences: the official journal of the Biomedical Fuzzy Systems Association 14 1 3 10 20090000 10.24466/ijbschs.14.1_3 rfj0161560/published_papers/29836032 Mohamed Abdel Fattah Fuji Ren Similarity-based model for transliteration Lecture Notes in Electrical Engineering 1876-1100 11 195 206 20090000 10.1007/978-0-387-76483-2_17 2-s2.0-79957443915 rfj0161560/published_papers/29809427 Yusuke Konishi Ruifan Li Fuji Ren Designing a Japanese idiom education support system for overseas' students 2009 International Conference on Natural Language Processing and Knowledge Engineering, NLP-KE 2009 null null 20090000 10.1109/NLPKE.2009.5313789 2-s2.0-72249120593 rfj0161560/published_papers/29809391 LiPing Mi Xiangyang Liu Fuji Ren The picture superiority effect in encoding and retrieval processes during Japanese learning for Chinese bilinguals 2009 International Conference on Natural Language Processing and Knowledge Engineering, NLP-KE 2009 null null 20090000 10.1109/NLPKE.2009.5313835 2-s2.0-72249088782 rfj0161560/published_papers/29809386 Tianjiao Gu Fuji Ren Chinese sentence similarity based on word context and semantic 2009 International Conference on Natural Language Processing and Knowledge Engineering, NLP-KE 2009 null null 20090000 10.1109/NLPKE.2009.5313774 2-s2.0-72249084517 rfj0161560/published_papers/29163998 Yan Sun Changqin Quan Fuji Ren Analysis on Degree Words for Chinese Emotion Expressions Based on Syntactic Parse and Rules IEEE NLP-KE 2009: PROCEEDINGS OF INTERNATIONAL CONFERENCE ON NATURAL LANGUAGE PROCESSING AND KNOWLEDGE ENGINEERING 562 567 20090000 rfj0161560/published_papers/29063128 Xiao Sun Fuji Ren Degen Huang Extended Super Function based Chinese Japanese Machine Translation IEEE NLP-KE 2009: PROCEEDINGS OF INTERNATIONAL CONFERENCE ON NATURAL LANGUAGE PROCESSING AND KNOWLEDGE ENGINEERING 39 + 20090000 rfj0161560/published_papers/29057897 Huana Li Fuji Ren The Study on Text Emotional Orientation Based on a Three-dimensional Emotion Space Model IEEE NLP-KE 2009: PROCEEDINGS OF INTERNATIONAL CONFERENCE ON NATURAL LANGUAGE PROCESSING AND KNOWLEDGE ENGINEERING 119 124 20090000 rfj0161560/published_papers/29057133 Lei Yu Fuji Ren A Study on Cross-Language Text Summarization Using Supervised Methods IEEE NLP-KE 2009: PROCEEDINGS OF INTERNATIONAL CONFERENCE ON NATURAL LANGUAGE PROCESSING AND KNOWLEDGE ENGINEERING 586 592 20090000 rfj0161560/published_papers/29055878 Mahmoud Elmarhumy Mohamed Abdel Fattah Fuji Ren Automatic Text Classification using Modified Centroid Classifier IEEE NLP-KE 2009: PROCEEDINGS OF INTERNATIONAL CONFERENCE ON NATURAL LANGUAGE PROCESSING AND KNOWLEDGE ENGINEERING 282 + 20090000 rfj0161560/published_papers/29054539 B. B. Yan F. J. Ren Y. C. Jiang Research on Integrated System of Information and Function Based on Virtual Prototyping Technology MANUFACTURING AUTOMATION TECHNOLOGY 1013-9826 392-394 884 + 20090000 rfj0161560/published_papers/29051363 Ji Li Fuji Ren A proposal for Creating a Chinese Emotion Thesaurus with Tag of Emotion Intensity IEEE NLP-KE 2009: PROCEEDINGS OF INTERNATIONAL CONFERENCE ON NATURAL LANGUAGE PROCESSING AND KNOWLEDGE ENGINEERING 274 281 20090000 rfj0161560/published_papers/29039914 Seiji Tsuchiya Eriko Yoshimura Fuji Ren Hirokazu Watabe Emotion Judgment Based on Relationship between Speaker and Sentential Actor KNOWLEDGE-BASED AND INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT I, PROCEEDINGS 0302-9743 5711 62 + 20090000 rfj0161560/published_papers/29037946 Fang Tian Fuji Ren Hyponymy Acquisition from Chinese Text by SVM IEEE NLP-KE 2009: PROCEEDINGS OF INTERNATIONAL CONFERENCE ON NATURAL LANGUAGE PROCESSING AND KNOWLEDGE ENGINEERING 505 510 20090000 rfj0161560/published_papers/29035857 Ling Xia Zhi Teng Fuji Ren Answer Generation for Chinese Cuisine QA System IEEE NLP-KE 2009: PROCEEDINGS OF INTERNATIONAL CONFERENCE ON NATURAL LANGUAGE PROCESSING AND KNOWLEDGE ENGINEERING 262 267 20090000 rfj0161560/published_papers/29035843 Changqin Quan Fuji Ren Recognizing Sentence Emotions Based on Polynomial Kernel Method Using Ren-CECps IEEE NLP-KE 2009: PROCEEDINGS OF INTERNATIONAL CONFERENCE ON NATURAL LANGUAGE PROCESSING AND KNOWLEDGE ENGINEERING 478 484 20090000 rfj0161560/published_papers/29031050 Ye Wu Fuji Ren A Corpus-based Multi-label Emotion Classification using Maximum Entropy NATURAL LANGUAGE PROCESSING AND COGNITIVE SCIENCE, PROCEEDINGS 103 110 20090000 rfj0161560/published_papers/29027288 Ye Wu Fuji Ren Simple Linguistic Processing Effect on Multi-label Emotion Classification IEEE NLP-KE 2009: PROCEEDINGS OF INTERNATIONAL CONFERENCE ON NATURAL LANGUAGE PROCESSING AND KNOWLEDGE ENGINEERING 350 354 20090000 rfj0161560/published_papers/29026553 Ye Liu Fuji Ren Unknown Place Name Detection base on YamCha for Japanese Guidance QA system IEEE NLP-KE 2009: PROCEEDINGS OF INTERNATIONAL CONFERENCE ON NATURAL LANGUAGE PROCESSING AND KNOWLEDGE ENGINEERING 207 + 20090000 rfj0161560/published_papers/29026192 Hong Zhang Fuji Ren Existential Negative Sentence Translation In Japanese-Chinese Machine Translation IEEE NLP-KE 2009: PROCEEDINGS OF INTERNATIONAL CONFERENCE ON NATURAL LANGUAGE PROCESSING AND KNOWLEDGE ENGINEERING 78 82 20090000 rfj0161560/published_papers/29024429 Fang Tian Peilin Jiang Fuji Ren A Practical System of Domain Ontology Learning Using the Web for Chinese 2009 FOURTH INTERNATIONAL CONFERENCE ON INTERNET AND WEB APPLICATIONS AND SERVICES 298 303 20090000 rfj0161560/published_papers/29023379 Kazuyuki Matsumoto Junko Matsumoto Fuji Ren Construction of English Composition Support System Based on Conveying Emotion IEEE NLP-KE 2009: PROCEEDINGS OF INTERNATIONAL CONFERENCE ON NATURAL LANGUAGE PROCESSING AND KNOWLEDGE ENGINEERING 125 132 20090000 rfj0161560/published_papers/29020585 Ruiqiang Guo Fuji Ren Towards the Relationship Between Semantic Web and NLP IEEE NLP-KE 2009: PROCEEDINGS OF INTERNATIONAL CONFERENCE ON NATURAL LANGUAGE PROCESSING AND KNOWLEDGE ENGINEERING 578 + 20090000 rfj0161560/published_papers/29018886 Yusuke Konishi Rui-Fan Li Fu-Ji Ren DESIGNING A PRIMARY SCIENCE EDUCATION SUPPORT SYSTEM BASED ON SUPER FUNCTION PROCEEDINGS OF 2009 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-6 2409 2413 20090000 rfj0161560/published_papers/26754570 Atsushi Sasaki Masashi Adachi Motoyuki Suzuki Ren Fuji Influence on emotional impression of voice by changing prosodic features. Proceedings of the 5th International Conference on Natural Language Processing and Knowledge Engineering, NLPKE 2009, Dalian, China, September 24-27, 2009 1 7 20090000 10.1109/NLPKE.2009.5313796 rfj0161560/published_papers/26754569 Jia Ma Motoyuki Suzuki Fuji Ren Detect the possible spokesperson with an omni-directional camera, in a robot-human communication system. Proceedings of the 5th International Conference on Natural Language Processing and Knowledge Engineering, NLPKE 2009, Dalian, China, September 24-27, 2009 1 5 20090000 10.1109/NLPKE.2009.5313810 rfj0161560/published_papers/17250455 Mohamed Abdel Fattah Fuji Ren GA, MR, FFNN, PNN and GMM based models for automatic text summarization COMPUTER SPEECH AND LANGUAGE 1095-8363 23 1 126 144 20090100 10.1016/j.csl.2008.04.002 rfj0161560/published_papers/17250454 Kazuyuki Matsumoto Tetsuya Tanioka Kyoko Osaka Ai Kawamura Syu-ichi Ueno Fuji Ren Yoichiro Takasaka Alan Barnard Rozzano C. Locsin Mitsuko Omori Developing the Method of Server Controlled Outcomes Management and Variance Analysis. This paper is to describe a way to develop the Psychoms process for mental health patient management and variance analysis system has been developed using artificial intelligence. Although it is agreed that there is a need for clinical pathway variance analysis, methods for creating a system are less well defined. The procedure and systematic process described aims to improve patients&#039; quality of life through consistent and timely care. Ultimately, its potential influence is to assist in the improvement of quality health care services. This paper illustrates a method of outcomes management and variance analysis as the prospective development of future research. Electron. Notes Theor. Comput. Sci. 1571-0661 225 221 237 20090000 10.1016/j.entcs.2008.12.076 rfj0161560/published_papers/17250450 Manabu Sasayama Fuji Ren Shingo Kuroiwa Automatic Extraction of Super-Function From Bilingual Corpus Extraction of a large Super-Function (SF) is one of the most important factor in realizing SF based machine translation. This paper presents a method to automatically extract SF from a Japanese-English bilingual corpus. The extraction process matches Japanese noun and English noun in each bilingual sentence in a bilingual corpus using a bilingual dictionary. The experimental results show that this method performs very well in automatically extracting SF for machine translation. Then, we discuss a problem of SF based machine translation from the result of the evaluation experiment using extracted SF. Electronic Notes in Theoretical Computer Science 1571-0661 225 1 329 340 20090100 10.1016/j.entcs.2008.12.084 rfj0161560/published_papers/17250448 Yu Zhang Fuji Ren Statistic Information and Grammatical Features Based Emotion Recognition for Chinese Split Phrases INFORMATION-AN INTERNATIONAL INTERDISCIPLINARY JOURNAL 1343-4500 12 1 183 191 20090100 rfj0161560/published_papers/17250447 Ye Yang 楊 曄 Seiji Tsuchiya 土屋 誠司 Fuji Ren 任 福継 Construction of "Analects of Confucius" knowledge base including pragmatics information 語用情報を含む「論語」知識ベースの構築 Institute of Electrical Engineers of Japan IEEJ Transactions on Electronics, Information and Systems 電気学会論文誌C (電子，情報，システム部門誌) 1348-8155 129 1 18 139 20090000 10.1541/ieejeiss.129.133 2-s2.0-72549119727 rfj0161560/published_papers/17250436 Liping Mi Xiangyang Liu Fuji Ren Hideo Araki Characteristics of event-related potentials in recognition processes of Japanese kanji and sentences for Chinese bilinguals Journal of Physiological Anthropology 1880-6791 28 4 191 197 20090000 10.2114/jpa2.28.191 19652451 2-s2.0-70349929354 rfj0161560/published_papers/17250435 Caixia Yuan Fuji Ren Xiaojie Wang Yixin Zhong Function labeling for unparsed Chinese text Institute of Electrical Engineers of Japan IEEJ Transactions on Electronics, Information and Systems 1348-8155 129 8 20 1600 20090000 10.1541/ieejeiss.129.1593 2-s2.0-72549118754 rfj0161560/published_papers/27917524 Xin Kang Wang Xiaojie Tan Yongmei Fuji Ren A Simple Method Improving Precision of Cross Domain Bilingual Sentence Alignment International Conference on Advanced Intelligence (ICAI-08) 204 210 20081000 rfj0161560/published_papers/17250460 Mohamed Abdel Fattah Fuji Ren English-Arabic proper-noun transliteration-pairs creation JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY 1532-2882 59 10 1675 1687 20080800 10.1002/asi.20877 rfj0161560/published_papers/17250459 Junko Minato Kazuyuki Matsumoto Fuji Ren Seiji Tsuchiya Shingo Kuroiwa Evaluation of emotion estimation methods based on statistic features of emotion tagged corpus INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL 1349-4198 4 8 1931 1941 20080800 rfj0161560/published_papers/17250458 Fattah Abdel Mohamed Fuji Ren Sentence Alignment based on the Text Length between Punctuation Marks Sentence alignment based on the text length between punctuation marks | sentence alignment; English/Arabic parallel corpus; parallel corpora; machine translation | Parallel corpora have become an essential resource for work in multi lingual natural language processing. Sentence aligned parallel corpora are more efficient than non-aligned parallel corpora for cross language information retrieval and machine translation applications. In this paper, we present a new approach to align sentences in bilingual parallel corpora based on the text character length between successive punctuation marks. A probabilistic score is assigned to each proposed correspondence of texts, based on the scaled difference of lengths of the two texts (in characters) and the variance of this difference. Using this score, the time required for punctuation marks matching decreased and the sentence alignment accuracy increased. Using this new approach, we could achieve an error reduction of 26.5% over length based approach when applied on English-Arabic parallel documents. The sentence alignment execution time decreased to 17% of the total time required for the combined model which uses length based approach and punctuation approach combined together. Moreover, the proposed approach result outperforms Melamed and Moore&#039;s approach results. Information : an International Interdisciplinary Journal 1343-4500 11 4 445 465 20080800 rfj0161560/published_papers/17250457 Manabu Sasayama 篠山 学 Shingo Kuroiwa 黒岩 眞吾 Fuji Ren 任 福継 Extracting Date/Time Expressions in Super-Function Based Japanese-English Machine Translation Super-Functionに基づく日英機械翻訳における日付・時間表現の抽出 Super-Function Based Machine Translation(SFBMT) which is a type of Example-Based Machine Translation has a feature which makes it possible to expand the coverage of examples by changing nouns into variables, however, there were problems extracting entire date/time expressions containing parts-of-speech other than nouns, because only nouns/numbers were changed into variables. We describe a method for extracting date/time expressions for SFBMT. SFBMT uses noun determination rules to extract nouns and a bilingual dictionary to obtain correspondence of the extracted nouns between the source and the target languages. In this method, we add a rule to extract date/time expressions and then extract date/time expressions from a Japanese-English bilingual corpus. The evaluation results shows that the precision of this method for Japanese sentences is 96.7%, with a recall of 98.2% and the precision for English sentences is 94.7%, with a recall of 92.7%. 用例ベース機械翻訳の一種であるスーパー関数による機械翻訳(SFBMT)は変数に名詞を変更することで，例の範囲を拡大することを可能にする機能を持っているが，日付/時刻を含む表現を抽出する問題があった．本論文では，SFBMTの日付/時刻表現を抽出するための方法を提案した． SFBMTは，ソースとターゲット言語の間で抽出された名詞の対応を得るために，名詞と対訳辞書を抽出するために，名詞決定ルールを使用している．この方法では，日付/時刻の表現を抽出し，日本語・英語のバイリンガルコーパスから日付/時刻表現を抽出するためのルールを追加する．実験により提案した手法の有効性を確かめた． The Institute of Electrical Engineers of Japan IEEJ Transactions on Electronics, Information and Systems 電気学会論文誌C (電子，情報，システム部門誌) 0385-4221 128 8 1342 1350 20080801 10.1541/ieejeiss.128.1342 rfj0161560/published_papers/29153980 Zhi Teng Ye Liu Fuji Ren Multimedia conversation system with application in supervised learning methods and ranking function INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL 1349-4198 4 6 1489 1498 20080600 rfj0161560/published_papers/29114778 Manabu Sasayama Fuji Ren Shingo Kuroiwa Automatic super-function extraction for translation of spoken dialogue INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL 1349-4198 4 6 1371 1381 20080600 rfj0161560/published_papers/17250463 David B. Bracewell Jiajun Yan Fuji Ren Single document keyword extraction for Internet news articles INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL 1349-4198 4 4 905 913 20080400 rfj0161560/published_papers/17250462 Liying Mi Xin Luo Fuji Ren Chinese-Japanese translation of causative sentences using super-function based machine translation system INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL 1349-4198 4 4 915 925 20080400 rfj0161560/published_papers/17250466 Junko Minato Bracewell B. David Fuji Ren Shingo Kuroiwa Japanese Emotion Corpus Analysis and its Use for Automatic Emotion Word Identification In this paper, the creation of a Japanese emotion cor- pus and its use in automatic emotion word identifcation are examined. The corpus was created by manually tagging words in just under 1,200 dialog sentences with emotion. Using the tagged corpus, statistical anal- ysis was performed to determine the characteristics of emotional expression in Japanese dialog. This type of analysis should prove benefcial for understanding how emotion is expressed and how to identify, classify, etc. emotion in Japanese. To test this theory an automatic emotion word identifcation system was built using machine learning based classifers with features taken from the statistical analysis. In total, four diferent classifers were trained and compared to a baseline dictionary approach. It was found that classifer based identifcation was able to signifcantly increase recall. Engineering Letters 1816-0948 16 1 172 177 20080200 rfj0161560/published_papers/17250465 David B. Bracewell Fuji Ren Shingo Kuroiwa A Low Cost Machine Translation Method for Cross-Lingual Information Retrieval In one form or another language translation is a necessary part of cross-lingual information retrieval systems. Often times this is accomplished using machine translation systems. However, machine translation systems offer low quality for their high costs. This paper proposes a machine translation method that is low cost while improving translation quality. This is done by utilizing multiple web based translation services to negate the high cost of translation. A best translation is chosen from the candidates using either consensus translation selection or statistical analysis. Which to use is determined by a heuristic rule that takes into account that most web based translation services are of similar quality and that machine translation still produces relatively poor results. By choosing the best translation the method is able to increase translation quality over the base systems, which is verified by the experimentation. Engineering Letters 1816-0948 16 1 160 165 20080200 rfj0161560/published_papers/17250464 Jiajun Yan David B. Bracewell Fuji Ren Shingo Kuroiwa The Creation of a Chinese Emotion Ontology Based on HowNet Full comprehension of language comes about by understanding the meaning and the emotion behind the communication. Understanding the meaning of language is the goal of natural language processing and research on semantic analysis. Understanding emotion is one of the goals of affective computing. The two areas of artificial intelligence have recently come together for understanding emotion in text. In order to help in this pursuit, this paper describes a Chinese emotion ontology based on HowNet and its construction. The ontology should go a long way in helping to understand, classifiy, and recognize emotion in Chinese. The ontology created in this paper is made up of Chinese emotion predicates that can help in understanding the emotion of the actors in sentences. The ontology was semi-automatically created using a simple three step process. The final ontology has just under 5,500 verb predicates covering 113 different emotion categories. Engineering Letters 1816-0948 16 1 166 171 20080200 rfj0161560/published_papers/47759921 Seiji Tsuchiya Noriyuki Okumura Hirokazu Watabe Tsukasa Kawaoka Fuji Ren Shingo Kuroiwa A method of positioning unknown words in an existing thesaurus based on an association mechanism Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, AIA 2008 121 125 20080000 2-s2.0-62849097810 rfj0161560/published_papers/47758979 Kazuyuki Matsumoto Junko Minato Seiji Tsuchiya Fuji Ren An approach for evaluating emotion tagged corpus MCCSIS'08 - IADIS Multi Conference on Computer Science and Information Systems; Proceedings of Interfaces and Human Computer Interaction 2008 258 262 20080000 2-s2.0-58449127258 rfj0161560/published_papers/29795636 Liu Bin Ren Fuji Wang Cong The building of Chinese emotion thesaurus using HowNet based on the main sememe Proceedings - 4th International Conference on Natural Computation, ICNC 2008 6 91 95 20080000 10.1109/ICNC.2008.194 2-s2.0-57649239020 rfj0161560/published_papers/29158119 Changqin Quan Fuji Ren Tingting He Po Hu Automatic Construction of Biomedical Abbreviations Dictionary from Text IEEE NLP-KE 2008: PROCEEDINGS OF INTERNATIONAL CONFERENCE ON NATURAL LANGUAGE PROCESSING AND KNOWLEDGE ENGINEERING 49 + 20080000 rfj0161560/published_papers/29155298 Dong Liu Changqin Quan Fuji Ren Peng Chen Sentiment and Sentimental Agent Identification Based on Sentimental Sentence Dictionary IEEE NLP-KE 2008: PROCEEDINGS OF INTERNATIONAL CONFERENCE ON NATURAL LANGUAGE PROCESSING AND KNOWLEDGE ENGINEERING 169 + 20080000 rfj0161560/published_papers/29154764 Seiji Tsuchiya Eriko Yoshimura Ren Fuji Hirokazu Watabe Tsuka Kawaoka A place judgment system based on an association mechanism for natural language interaction KNOWLEDGE - BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 1, PROCEEDINGS 1611-3349 5177 286 + 20080000 rfj0161560/published_papers/29153512 Hong Zhang Fuji Ren Negative Expression Translation in Japanese and Chinese Machine Translation IEEE NLP-KE 2008: PROCEEDINGS OF INTERNATIONAL CONFERENCE ON NATURAL LANGUAGE PROCESSING AND KNOWLEDGE ENGINEERING 75 81 20080000 rfj0161560/published_papers/29148448 Lei Yu Jia Ma Seiji Tsuchiya Fuji Ren Opinion Mining: A Study on Semantic Orientation Analysis for Online Document 2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23 4548 + 20080000 rfj0161560/published_papers/29146894 Caixia Yuan Xiaojie Wang Fuji Ren Exploiting Lexical Information for Function Tag Labeling IEEE NLP-KE 2008: PROCEEDINGS OF INTERNATIONAL CONFERENCE ON NATURAL LANGUAGE PROCESSING AND KNOWLEDGE ENGINEERING 67 + 20080000 rfj0161560/published_papers/29145576 Ye Wu Fuji Ren Emotion Recognition Based on Negative Words and Pattern Matching for Chinese Negative Sentences IEEE NLP-KE 2008: PROCEEDINGS OF INTERNATIONAL CONFERENCE ON NATURAL LANGUAGE PROCESSING AND KNOWLEDGE ENGINEERING 145 149 20080000 rfj0161560/published_papers/29139578 Ai Hakamata Fuji Ren Seiji Tsuchiya Human Emotion Model based on Discourse Sentence for Expression Generation of Conversation Agent IEEE NLP-KE 2008: PROCEEDINGS OF INTERNATIONAL CONFERENCE ON NATURAL LANGUAGE PROCESSING AND KNOWLEDGE ENGINEERING 235 + 20080000 rfj0161560/published_papers/29136099 Peilin Jiang Fuji Ren Nanning Zheng Advanced Emotion Categorization and Tagging IEEE NLP-KE 2008: PROCEEDINGS OF INTERNATIONAL CONFERENCE ON NATURAL LANGUAGE PROCESSING AND KNOWLEDGE ENGINEERING 249 + 20080000 rfj0161560/published_papers/29136071 Ji Li Fuji Ren Emotion Recognition from Blog Articles IEEE NLP-KE 2008: PROCEEDINGS OF INTERNATIONAL CONFERENCE ON NATURAL LANGUAGE PROCESSING AND KNOWLEDGE ENGINEERING 355 362 20080000 rfj0161560/published_papers/29128485 Mohamed Abdel Fattah Fuji Ren Probabilistic Neural Network Based Text Summarization IEEE NLP-KE 2008: PROCEEDINGS OF INTERNATIONAL CONFERENCE ON NATURAL LANGUAGE PROCESSING AND KNOWLEDGE ENGINEERING 43 48 20080000 rfj0161560/published_papers/29127998 Zhi Teng Ye Liu Fuji Ren A Foundation for Knowledge System with Application in Information Retrieval and Knowledge Acquisition IEEE NLP-KE 2008: PROCEEDINGS OF INTERNATIONAL CONFERENCE ON NATURAL LANGUAGE PROCESSING AND KNOWLEDGE ENGINEERING 15 21 20080000 rfj0161560/published_papers/29125826 Xin Kang Xiaojie Wang Fuji Ren Exploiting Syntactic and Semantic Information in Coarse Chinese Question Classification IEEE NLP-KE 2008: PROCEEDINGS OF INTERNATIONAL CONFERENCE ON NATURAL LANGUAGE PROCESSING AND KNOWLEDGE ENGINEERING 174 + 20080000 rfj0161560/published_papers/29123724 Ling Xia Zhi Teng Fuji Ren Question Classification in Chinese Restricted-Domain Based on SVM and Domain Dictionary IEEE NLP-KE 2008: PROCEEDINGS OF INTERNATIONAL CONFERENCE ON NATURAL LANGUAGE PROCESSING AND KNOWLEDGE ENGINEERING 486 491 20080000 rfj0161560/published_papers/29123214 Kaiyan Huang Yun Li Fuji Ren Generating Lexico Pattern for Dimensioning of Chinese Separable Verb-object Words in Chinese Text IEEE NLP-KE 2008: PROCEEDINGS OF INTERNATIONAL CONFERENCE ON NATURAL LANGUAGE PROCESSING AND KNOWLEDGE ENGINEERING 9 14 20080000 rfj0161560/published_papers/29116496 Zhi Teng Ye Liu Fuji Ren Seiji Tsuchiya Fuji Ren Single Document Summarization Based on Local Topic Identification and Word Frequency PROCEEDINGS OF THE SPECIAL SESSION OF THE SEVENTH MEXICAN INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE - MICAI 2008 37 + 20080000 10.1109/MICAI.2008.12 rfj0161560/published_papers/29115739 Yun Li Kaiyan Huang Seiji Tsuchiya Fuji Ren Yixin Zhong Exploring Words with Semantic Correlations from Chinese Wikipedia INTELLIGENT INFORMATION PROCESSING IV 1571-5736 103 + 20080000 rfj0161560/published_papers/29115403 Xiao Sun Fuji Ren Degen Huang Dual-chain Unequal-state CRF for Chinese New Word Detection and POS Tagging IEEE NLP-KE 2008: PROCEEDINGS OF INTERNATIONAL CONFERENCE ON NATURAL LANGUAGE PROCESSING AND KNOWLEDGE ENGINEERING 60 + 20080000 rfj0161560/published_papers/29112266 Ling Xia Zhi Teng Fuji Ren An Integrated Approach for Question Classification in Chinese Cuisine Question Answering System PROCEEDINGS OF THE SECOND INTERNATIONAL SYMPOSIUM ON UNIVERSAL COMMUNICATION 317 + 20080000 10.1109/ISUC.2008.18 rfj0161560/published_papers/29110940 Tianjiao Gu Fuji Ren Question Matching based on Fuzzy Set IEEE NLP-KE 2008: PROCEEDINGS OF INTERNATIONAL CONFERENCE ON NATURAL LANGUAGE PROCESSING AND KNOWLEDGE ENGINEERING 150 155 20080000 rfj0161560/published_papers/29110321 Yun Li Kaiyan Huang Fuji Ren Yixin Zhong SEARCHING AND COMPUTING FOR VOCABULARIES WITH SEMANTIC CORRELATIONS FROM CHINESE WIKIPEDIA CIICT 2008: PROCEEDINGS OF CHINA-IRELAND INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATIONS TECHNOLOGIES 2008 58 + 20080000 rfj0161560/published_papers/27917412 Ye Yang Peilin Jiang Fuji Ren Seiji Tsuchiya Classic Chinese Automatic Question Answering System Based on Pragmatics Information PROCEEDINGS OF THE SPECIAL SESSION OF THE SEVENTH MEXICAN INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE - MICAI 2008 58 + 20080000 10.1109/MICAI.2008.31 rfj0161560/published_papers/26754699 Jia Ma Motoyuki Suzuki Fuji Ren Speaker Detection Method for Autonomous Robot In Complex Communication Environment, Based on Image Processin Proc. 2008 International Conference on Advanced Intelligence 349 354 20080000 rfj0161560/published_papers/17250469 Dapeng Yin Min Shao Fuji Ren Shingo Kuroiwa Improving parsing of 'BA' sentences for machine translation IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING 1931-4981 3 1 106 112 20080100 10.1002/tee.20241 rfj0161560/published_papers/17250468 Kyoko Osaka Tetsuya Tanioka Shuichi Ueno Chiemi Kawanishi Toshiko Tada Shingo Kuroiwa Fuji Ren Empathetic Understanding as Caring in Nursing Using Electroencephalographic Data as Evidence We presume that the measurement of electroencephalographic (EEG) changes, those activities that are considered physiological indicators, enables an objective understanding of changes in emotions of those who have difficulty in expressing these through facial expression or physical action. Generally, EEG is used in the hospital to examine encephalopathy and brain disorder. Using an electroencephalograph device to acquire digital data we propose a method to objectively capture changes in the recognition state of people from changes in EEG activities (action potential), and a way to apply it into a clinical situation. International Journal for Human Caring 1091-5710 12 1 7 16 20080100 rfj0161560/published_papers/17250467 Mohamed Abdel Fattah Fuji Ren Automatic Text Summarization PROCEEDINGS OF WORLD ACADEMY OF SCIENCE, ENGINEERING AND TECHNOLOGY, VOL 27 1307-6884 27 1 192 + 20080000 rfj0161560/published_papers/17250456 Kyoko Osaka Seiji Tsuchiya Fuji Ren Shingo Kuroiwa Tetsuya Tanioka Rozzano C. Locsin The technique of emotion recognition based on electroencephalogram INFORMATION-AN INTERNATIONAL INTERDISCIPLINARY JOURNAL 1344-8994 11 1 55 68 20080100 rfj0161560/published_papers/17250473 Yu Zhang Zhuoming Li Fuji Ren Shingo Kuroiwa A Construction of Emotion Thesaurus Basing on Chinese Character and Empirical Knowledge There have been some studies about spoken natural language dialog, and most of them have successfully been developed within the specified domains. However, current human-computer interfaces only get the data to process their programs. Aiming at developing an affective dialog system, we have been exploring how to incorporate emotional aspects of dialog into existing dialog processing techniques. As a preliminary step toward this goal, we work on making a Chinese emotion classification model which is used to recognize the main affective attribute from a sentence or a text. Finally we have done experiments to evaluate our model. Research in Computing Science 32 330 340 20071100 rfj0161560/published_papers/17250472 Peilin Jiang Ran Li Fuji Ren Shingo Kuroiwa Nanning Zheng Color Features Based Speaking Detection with Hidden Markov Model in Video Sequences The Human Computer Interface Technology has faced challenges of understanding user&#039;s mind actively. In the ￣rst, the speak detection is a primary technique in applications of human computer interface(HCI) and other applications like surveillance system, video conferenceand multimedia data base management in computer vision and speechrecognition. This paper describes a novel method to detect speaker witha probabilistic model of behavior of speaking. After human face recognition, the especial components under the nonlinear transformation incolor space of lip represent the speci￣c mouth region and then combine the groups of coherent motions . Next the simple movements in themouth region are modeled by hidden Markov models. The experimentalresults demonstrate that the model representing speaking is e±ciencyand successful in applying to driver video surveillance system. Research in Computing Science 32 374 381 20071100 rfj0161560/published_papers/17250475 Shingo Kuroiwa Satoru Tsuge Masahiko Kita Fuji Ren Speaker Identification Method Using Earth Mover's Distance for CCC Speaker Recognition Evaluation 2006 In this paper, we present a non-parametric speaker identification method using Earth Movers Distance (EMD) designed for text-indepedent speaker identification and its evaluation results for CCC Speaker Recognition Evaluation 2006, organized by the Chinese Corpus Consortium (CCC) for the th International Symposium on Chinese Spoken Language Processing (ISCSLP 2006). EMD based speaker identification (EMD-IR) was originally designed to be applied to a distributed speaker identification system, in which the feature vectors are compressed by vector quantization at a terminal and sent to a server that executes a pattern matching process. In this structure, we had to train speaker models using quantized data, then we utilized a non-parametric speaker model and EMD. From the experimental results on a Japanese speech corpus, EMD-IR showed higher robustness to the quantized data than the conventional GMM technique. Moreover, it achieved higher accuracy than GMM even if the data was not quantized. Hence, we have taken the challenge of CCC Speaker Recognition Evaluation 2006 using EMD-IR. Since the identification tasks defined in the evaluation were on an open-set basis, we introduce a new speaker verification module. Evaluation results show that EMD-IR achieves 99.3 % Identification Correctness Rate in a closed-channel speaker identification task. International Journal of Computational Linguistics & Chinese Language Processing 12 3 239 254 20070900 rfj0161560/published_papers/17250474 Kazuma Hara 原 一眞 Shingo Kuroiwa 黒岩 眞吾 Kouji Tanaka 田中 康司 Satoru Tsuge 柘植 覚 Fuji Ren 任 福継 Masami Shishibori 獅々堀 正幹 Kenji Kita 北 研二 Acoustic Model Adaptation Using Speech Synthesis for Codec Speech Recognition 符号化音声認識のための合成音声を用いた不特定話者音響モデルの適応法 現在,IP電話端末から音声認識システムを利用する場合,音声データ通信時における音声圧縮・伸張(符号化)の影響より固定電話と比較して音声認識精度が低下する問題がある.これを回避するため,符号化された多量の音声データを用いて音響モデルを再学習,及び適応する手法が提案されている.しかし,再学習や適応に必要となる多量の音声データを収集することは多大な労力と時間が必要となる.そこで本論文では,音声データの収集を必要としない音響モデル適応手法を提案する.本提案手法は,認識に用いる音響モデルから適応に必要な音声データを自己生成する手法である.本論文ではこの手法を実現するため,音響モデルの各分布より音素波形を合成し適応に用いる「合成音素波形による音響モデルの分布適応法」と連続音声を合成し適応に用いる「連続合成音声を用いた音響モデル適応法」を提案する.符号化方式G723.1を用いた音声認識実験結果より,連続合成音声を用いた音響モデル適応法は適応前の音響モデルの認識精度を改善することが分かった.これらの結果より,提案手法は適応データの収集を必要とせず,符号化音声を高精度に認識する手法として有効であるといえる. The Institute of Electronics, Information and Communication Engineers 一般社団法人電子情報通信学会 The Transactions of the Institute of Electronics, Information and Communication Engineers D 電子情報通信学会論文誌(D) 1880-4535 J90-D 9 2541 2549 20070901 rfj0161560/published_papers/25877931 Chietni Kawanishi Kyoko Osaka Tetsuya Tanioka Rozzano C. Locsin Toshiko Tada Shu-ichi Ueno Fuji Ren Kazuyuki Matumoto Shunji Mituyoshi Establishing methods and analytical examples for empathic understanding as technological competency in nursing INFORMATION-AN INTERNATIONAL INTERDISCIPLINARY JOURNAL 1344-8994 10 2 253 262 20070300 rfj0161560/published_papers/28815279 Yun Li Fang Tian Fuji Ren Shingo Kuroiwa Yixin Zhong A method of semantic dictionary construction from on-line encyclopedia classifications PROCEEDINGS OF THE 2007 IEEE INTERNATIONAL CONFERENCE ON NATURAL LANGUAGE PROCESSING AND KNOWLEDGE ENGINEERING (NLP-KE'07) 82 + 20070000 rfj0161560/published_papers/28810790 Mohamed Abdel Fattah Fuji Ren English-Arabic transliteration PROCEEDINGS OF THE WSEAS INTERNATIONAL CONFERENCE ON CIRCUITS, SYSTEMS, ELECTRONICS, CONTROL & SIGNAL PROCESSING 1790-5117 597 602 20070000 rfj0161560/published_papers/28809248 Zhi Teng Fuji Ren Shingo Kuroiwa Emotion recognition from text based on the rough set theory and the support vector machines PROCEEDINGS OF THE 2007 IEEE INTERNATIONAL CONFERENCE ON NATURAL LANGUAGE PROCESSING AND KNOWLEDGE ENGINEERING (NLP-KE'07) 36 + 20070000 rfj0161560/published_papers/28804178 Mizuho Shinomiya Fuji Ren Shingo Kuroiwa Seiji Tsuchiya Extracting the opinions of news articles based on emotionally laden words PROCEEDINGS OF THE 2007 IEEE INTERNATIONAL CONFERENCE ON NATURAL LANGUAGE PROCESSING AND KNOWLEDGE ENGINEERING (NLP-KE'07) 262 + 20070000 rfj0161560/published_papers/28791188 David B. Bracewell Fuji Ren Katsutoshi Hisazumil Zhi Teng Yuichi Furose Shingo Kuroiwa READING: A self sufficient Internet news system with applications in information and knowledge mining PROCEEDINGS OF THE 2007 IEEE INTERNATIONAL CONFERENCE ON NATURAL LANGUAGE PROCESSING AND KNOWLEDGE ENGINEERING (NLP-KE'07) 190 + 20070000 rfj0161560/published_papers/28784688 Dapeng Yin Peilin Jiang Fuji Ren Shingo Kuroiwa Chinese complex long sentences processing method for Chinese-Japanese machine translation PROCEEDINGS OF THE 2007 IEEE INTERNATIONAL CONFERENCE ON NATURAL LANGUAGE PROCESSING AND KNOWLEDGE ENGINEERING (NLP-KE'07) 170 + 20070000 rfj0161560/published_papers/28780096 Song Liu Ye Yang Fuji Ren Shigo Kuroiwa Questions analysis of Confucius Analects Knowledge System PROCEEDINGS OF THE 2007 IEEE INTERNATIONAL CONFERENCE ON NATURAL LANGUAGE PROCESSING AND KNOWLEDGE ENGINEERING (NLP-KE'07) 107 + 20070000 rfj0161560/published_papers/28779737 Thichi Yamada Seiji Tsuchiya Shiongo Kuroiwa Fuji Ren Classification of facemarks using N-gram PROCEEDINGS OF THE 2007 IEEE INTERNATIONAL CONFERENCE ON NATURAL LANGUAGE PROCESSING AND KNOWLEDGE ENGINEERING (NLP-KE'07) 322 + 20070000 rfj0161560/published_papers/28778020 Fang Tian Yun Li Fuji Ren Shingo Kuroiwa Ontology based domain knowledge construction PROCEEDINGS OF THE 2007 IEEE INTERNATIONAL CONFERENCE ON NATURAL LANGUAGE PROCESSING AND KNOWLEDGE ENGINEERING (NLP-KE'07) 176 + 20070000 rfj0161560/published_papers/28770300 Satoru Tsuge Keiji Seeda Masami Shishibori Kenji Kita Fuji Ren Minoru Fukumi Shingo Kuroiwa Analysis of variation on intra-speakers speech recognition performances PROCEEDINGS OF THE 2007 IEEE INTERNATIONAL CONFERENCE ON NATURAL LANGUAGE PROCESSING AND KNOWLEDGE ENGINEERING (NLP-KE'07) 387 + 20070000 rfj0161560/published_papers/28768356 Mitsuhiro Ozawa Satoru Tsuge Masami Shishibori Kenji Kita Minoru Fukumi Fuji Ren Shingo Kuroiwa Automatic utterance segmentation tool for speech corpus PROCEEDINGS OF THE 2007 IEEE INTERNATIONAL CONFERENCE ON NATURAL LANGUAGE PROCESSING AND KNOWLEDGE ENGINEERING (NLP-KE'07) 401 + 20070000 rfj0161560/published_papers/28768341 Junko Minato Kazuyuki Matsumoto Fuji Ren Shingo Kuroiwa Corpus-based analysis of Japanese-English emotional expressions PROCEEDINGS OF THE 2007 IEEE INTERNATIONAL CONFERENCE ON NATURAL LANGUAGE PROCESSING AND KNOWLEDGE ENGINEERING (NLP-KE'07) 413 + 20070000 rfj0161560/published_papers/28765934 Seiji Tsuchiya Fuji Ren Shingo Kuroiwa Hirokazu Watabe Tsukasa Kawaoka A semantic information retrieval technique and an evaluation for a narrow display based on an association mechanism PROCEEDINGS OF THE 2007 IEEE INTERNATIONAL CONFERENCE ON NATURAL LANGUAGE PROCESSING AND KNOWLEDGE ENGINEERING (NLP-KE'07) 209 + 20070000 rfj0161560/published_papers/28764260 Ye Yang Song Liu Shingo Kuroiwa Fuji Ren Question answering system of Confucian Analects based on pragmatics information and categories PROCEEDINGS OF THE 2007 IEEE INTERNATIONAL CONFERENCE ON NATURAL LANGUAGE PROCESSING AND KNOWLEDGE ENGINEERING (NLP-KE'07) 361 + 20070000 rfj0161560/published_papers/26867148 Lei Yu Jia Ma Fuji Ren Shingo Kuroiwa Automatic Text Summarization Based on Lexical Chains and Structural Features. IEEE Computer Society Proceedings of the 8th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2007, July 30 - August 1, 2007, Qingdao, China 574 578 20070000 10.1109/SNPD.2007.194 rfj0161560/published_papers/26867147 Shingo Kuroiwa Masashi Takashina Satoru Tsuge Fuji Ren Artificial bandwidth extension for speech signals using speech recogniton. ISCA INTERSPEECH 2007, 8th Annual Conference of the International Speech Communication Association, Antwerp, Belgium, August 27-31, 2007 2501 2504 20070000 rfj0161560/published_papers/26867143 David B. Bracewell Fuji Ren Shingo Kuroiwa Low Cost Japanese-English Machine Translation for Cross-Lingual Information Retrieval. ISRST International Conference on Artificial Intelligence and Pattern Recognition, AIPR-07, Orlando, Florida, USA, July 9-12, 2007 22 27 20070000 rfj0161560/published_papers/26867142 Jiajun Yan David B. Bracewell Fuji Ren Shingo Kuroiwa Semi-Automatic Construction of an Emotion Ontology Using HowNet. ISRST International Conference on Artificial Intelligence and Pattern Recognition, AIPR-07, Orlando, Florida, USA, July 9-12, 2007 17 21 20070000 rfj0161560/published_papers/25877929 Kyoko Osaka Tetsuya Tanioka Rozzano C. Locsin Shu-ichi Ueno Kazuyuki Matsumoto Chiemi Kawanishi Shingo Kuroiwa Seiji Tsuchiya Fuji Ren Electroencephalograph estimation method of measuring PROCEEDINGS OF THE 2007 IEEE INTERNATIONAL CONFERENCE ON NATURAL LANGUAGE PROCESSING AND KNOWLEDGE ENGINEERING (NLP-KE'07) 514 + 20070000 rfj0161560/published_papers/25877923 Tetsuya Tanioka Ai Kawamura Kazuyuki Matsumoto Kazushi Mifune Yoichiro Takasaka Kyoko Osaka Hiroshi Kawada Shuichi Ueno Rozzano C. Locsin Mutsuko Kataoka Takuya Matsuda Fuji Ren Toshiko Tada Outcome management and morphologic variance analysis using Psychoms (TM) for patient care in psychiatric hospitals PROCEEDINGS OF THE 2007 IEEE INTERNATIONAL CONFERENCE ON NATURAL LANGUAGE PROCESSING AND KNOWLEDGE ENGINEERING (NLP-KE'07) 502 + 20070000 rfj0161560/published_papers/17250471 Kazuyuki Matsumoto Fuji Ren Shingo Kuroiwa Seiji Tsuchiya Emotion estimation algorithm based on interpersonal emotion included in emotional dialogue sentences MICAI 2007: ADVANCES IN ARTIFICIAL INTELLIGENCE 0302-9743 4827 1035 + 20070000 10.1007/978-3-540-76631-5_99 rfj0161560/published_papers/17250470 Peilin Jiang Hua Xiang Fuji Ren Shingo Kuroiwa Nanning Zheng The framework of Mental State Transition analysis MICAI 2007: ADVANCES IN ARTIFICIAL INTELLIGENCE 0302-9743 4827 1046 + 20070000 10.1007/978-3-540-76631-5_100 rfj0161560/published_papers/17250461 Manabu Sasayama Fuji Ren Shingo Kuroiwa Automatic super-function extraction for translation of spoken dialogue PROCEEDINGS OF THE 2007 IEEE INTERNATIONAL CONFERENCE ON NATURAL LANGUAGE PROCESSING AND KNOWLEDGE ENGINEERING (NLP-KE'07) 1349-4198 4 6 141 + 20070000 rfj0161560/published_papers/17250476 Fuji Ren Machine-Aided English Writing Function in MMM Projest Multi-lingual Multi-function Multi-media intelligent system (MMM) is a big project. It is a complex intelligent system with multiple functions that can deal with multiple languages and multiple media. We have designed a new general ontology based natural language processing system referred to as Multi-lingual Multi-function Multi-media Intelligent System. This paper describes a new Machine-Aided Writing Function in the MMM. The methodology proposed in this paper can deal with any foreign language, but we focus only on how to construct a Machine-Aided English Writing system for Japanese users. With the rapid development of the internet, writing English becomes daily work for computer users all over the world. However, for most non-native users, writing English is a big challenge. To build a machine-aided system that helps non-native users not only on spelling checking and grammar checking but also on producing accurate English expressions is a challenging task. The basic idea of the method proposed in this paper is based on Super-Function (SF) means and Corpora Intelligence Technique (CIT). SF is a new concept that we present to develop multi-lingual machine translation. A prototype Machine Aiding English Writing system has been constructed based on the proposed method. Some experiments using the prototype system have been carried out and the results show the proposed method is effective. This paper discusses the SF and CIT in detail and give some new advances in the MMM project. Journal of Asian Information-Science-Life 2 3 267 282 20061000 rfj0161560/published_papers/41620196 Mohamed Abdel Fattah Fuji Ren Shingo Kuroiwa Speaker Recognition for Wire/Wireless Communication Systems. Int. Arab J. Inf. Technol. 3 1 28 34 20060000 rfj0161560/published_papers/28898532 Masashi Takashina Shingo Kuroiwa Satoru Tsuge Fuji Ren Speech bandwidth extension method using speech recognition and speech synthesis 2006 10TH INTERNATIONAL CONFERENCE ON COMMUNICATION TECHNOLOGY, VOLS 1 AND 2, PROCEEDINGS 1273 + 20060000 rfj0161560/published_papers/28897540 Kyoko Osaka Kazuyuki Matumoto Chiemi Kawanishi Tetuya Tanioka Toshiko Tada Shuichi Ueno Rozzano C. Locsin Fuji Ren Required precision to natural language processing for therapeutic patient-health care provider communication PROCEEDINGS OF THE NINTH IASTED INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS AND CONTROL 118 + 20060000 rfj0161560/published_papers/28893554 Takanori Hirai Shingo Kuroiwa Satoru Tsuge Fuji Ren Mohamed Abdel Fattah A speech emphasis method for noise-robust speech recognition by using repetitive phrase 2006 10TH INTERNATIONAL CONFERENCE ON COMMUNICATION TECHNOLOGY, VOLS 1 AND 2, PROCEEDINGS 1269 + 20060000 rfj0161560/published_papers/28890894 Xiaoying Tai Chengyu Wu Fuji Ren Kenji Kita Image retrieval based on color and texture MICAI 2006: FIFTH MEXICAN INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE, PROCEEDINGS 111 + 20060000 rfj0161560/published_papers/28890355 Yu Zhang Fuji Ren Shingo Kuroiwa Semi-automatic emotion recognition from Chinese text PROCEEDINGS OF THE NINTH IASTED INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS AND CONTROL 113 + 20060000 rfj0161560/published_papers/28889347 Shingo Kuroiwa Youji Mori Satoru Tsuge Masashi Takashina Fuji Ren Wind noise reduction method for speech recording using multiple noise templates and observed spectrum fine structure 2006 10TH INTERNATIONAL CONFERENCE ON COMMUNICATION TECHNOLOGY, VOLS 1 AND 2, PROCEEDINGS 1567 + 20060000 rfj0161560/published_papers/28880231 Sihao Xu Fuji Ren A model of emotion eliciting from Chinese textual input Proceedings of 2006 International Conference on Artificial Intelligence 734 737 20060000 rfj0161560/published_papers/28878372 Satoru Tsuge Minoru Fukumi Masami Shishibori Fuji Ren Kenji Kita Shingo Kuroiwa Study of relationships between intra-speaker's speech variability and speech recognition performance 2006 INTERNATIONAL SYMPOSIUM ON INTELLIGENT SIGNAL PROCESSING AND COMMUNICATIONS, VOLS 1 AND 2 33 + 20060000 rfj0161560/published_papers/28877442 Takahiro Kuroda Ma Jia Fuji Ren Shingo Kuroiwa The construction of the facial expression video database 2006 10TH INTERNATIONAL CONFERENCE ON COMMUNICATION TECHNOLOGY, VOLS 1 AND 2, PROCEEDINGS 1265 + 20060000 rfj0161560/published_papers/26867154 Lei Yu Mengge Liu Fuji Ren Shingo Kuroiwa A Chinese Automatic Text Summarization system for mobile devices. ACL Proceedings of the 20st Pacific Asia Conference on Language, Information and Computation, PACLIC 20, Huazhong Normal University, Wuhan, China, November 1-3, 2006 null null 20060000 rfj0161560/published_papers/26867153 Mohamed Abdel Fattah Fuji Ren Shingo Kuroiwa Machine Transliteration. ACL Proceedings of the 20st Pacific Asia Conference on Language, Information and Computation, PACLIC 20, Huazhong Normal University, Wuhan, China, November 1-3, 2006 null null 20060000 rfj0161560/published_papers/26867152 Shingo Kuroiwa Satoru Tsuge Fuji Ren Lost speech reconstruction method using speech recognition based on missing feature theory and HMM-based speech synthesis. ISCA INTERSPEECH 2006 - ICSLP, Ninth International Conference on Spoken Language Processing, Pittsburgh, PA, USA, September 17-21, 2006 null null 20060000 rfj0161560/published_papers/26867150 Satoru Tsuge Masami Shishibori Kenji Kita Fuji Ren Shingo Kuroiwa Study of Intra-Speakers Speech Variability Over Long and Short Time Periods for Speech Recognition. IEEE 2006 IEEE International Conference on Acoustics Speech and Signal Processing, ICASSP 2006, Toulouse, France, May 14-19, 2006 397 400 20060000 10.1109/ICASSP.2006.1660041 rfj0161560/published_papers/26867149 Jiajun Yan David B. Bracewell Fuji Ren Shingo Kuroiwa A Machine Learning Approach to Determine Semantic Dependency Structure in Chinese. AAAI Press Proceedings of the Nineteenth International Florida Artificial Intelligence Research Society Conference, Melbourne Beach, Florida, USA, May 11-13, 2006 782 786 20060000 rfj0161560/published_papers/17250479 Ya Lin Zhi Teng Bracewell B. David Fuji Ren Shingo Kuroiwa Development of a Multimedia Bidirectional Learning System Environment During the last decade, multimedia learning system environments, using television and internet for instance, have been widely deployed not only in open universities, preparatory schools and technical exchange, but also in areas where the education system is underdeveloped. However, these learning systems are not capable of bidirectional learning. In this paper, we describe a bidirectional multimedia learning system environment. The bidirectional learning system environment is not the traditional e-Learning system, but is one that incorporates a surveillant system and a QA (Question&amp;Answer) system. The surveillant system does not only track and record a learner&#039;s study status, but also prompts those who are not earnest at all times using a pattern recognition system. The QA system uses speech recognition and is used to identify and answer questions proposed by a learner. This system solves the problem of a lack of bidirectionality and control by a learner in the former e-Learning education systems. International Journal of Information 8 6 871 879 20051200 rfj0161560/published_papers/17250478 Qiong Liu Xin Lu Fuji Ren Shingo Kuroiwa Automatic Stock Market Forecasting and Correlative Natural Language Generation Time-series forecasting is an important research area in several domains. Recently, neural networks have been very successfully applied in time series to improve multivariate prediction ability. Several neural network model have already been developed for the market prediction. Some are applied to predicting the change of future interest rate and exchange rate; some are applied to recognizing certain price patterns that are characteristic of future price changes. This paper presents a neural network model for technical analysis of stock market, and its application to a buying and selling timing prediction system for stock index of Japan. This paper also describes a natural language generation system using Extensible Super-Function (ESF) to express prediction information of TOPIX in natural language for non-expert users. This system has evolved to be one of the most comprehensive grammars of English for prediction expressions. 時系列予測はいくつの領域で重要な研究分野である．最近，ニューラルネットワークは時系列での応用が成功し，多変数予測能力が改善された．何個の市場予測のためのニューラルネットワークモデルが既に開発された．その中に，未来の金利と為替相場の変動を予測するのがあり，未来の値段変動の特徴とする特定の価格パターンを認識するのもある．本文は株式市場を技術的分析するニューラルネットワークモデルを提案し，日本の株価指数の売買タイミング予測システムに応用した．本文も，非専門家ユーザーのための，自然言語TOPIXの予測情報を表現するESF(Extensible Super-Function，拡張可能スーパー関数)を用いた自然言語生成システムについて述べた． International Journal of Information 8 6 881 890 20051200 rfj0161560/published_papers/17250477 FJ Ren K Yen Estimating the minimum entropy of Chinese and Japanese languages INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING 0219-6220 4 4 679 689 20051200 10.1142/S0219622005001702 rfj0161560/published_papers/17250480 Qiong Liu Xin Lu Fuji Ren Shingo Kuroiwa XML based extended Super-Function schema in Knowledge Representation In recent years, the usual knowledge representation (KR) problem in artificial intelligence is how to automatically represent andtransform different kinds of knowledge using one kind of schema. Especially this problem focuses on representing formal knowledge in naturallanguage for human understanding. For this purpose, this paper proposesan extended super-function (ESF) schema to build a novel KR system.This system can translate the data of stock market or other fields intothe corresponding natural language expression automatically. Moreover,this system benefits from XML techniques which formalize and constructall information using the common Web rules to realize the ESF schema. Journal of Research on Computing Science 16 3 12 20051100 rfj0161560/published_papers/17250482 FJ Ren Automatic abstracting important sentences INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING 0219-6220 4 1 141 152 20050300 10.1142/S0219622005001428 rfj0161560/published_papers/17250481 Tetsuya Tanioka 谷岡 哲也 高坂 要一郎 永峰 勲 Fuji Ren 任 福継 片岡 睦子 中屋 公子 Toshiko Tada 多田 敏子 大坂 京子 Hiroki Moriguchi 森口 博基 Fumiko Hashimoto 橋本 文子 Yasuko Matsushita 松下 恭子 Ruriko Yamashita 山下 留理子 伊藤 奈織子 小田 典子 木曽 利恵 延 和佳奈 山口 友紀子 統合失調症用のクリニカルパス及びアウトカム管理の確認項目の作成と重要性の検討 近年，クリニカルパスはケアを改善するために用いられるようになった．この研究の目的は統合失調症用のためのCPを開発することである．その主要な焦点は，?ノーマライゼーションの理念に基づいたチームケアを実践すること，?CPと連動した患者アウトカム管理用の重要な品質管理項目を明確にすることである．アウトカム管理を病院で行うことによって，患者・家族のQuality of Lifeの向上，良好な費用対効果，医療者の満足度の向上，入院期間の短縮等の効果が得られる．筆者らは，(Interdisciplinary Collaborative Team Care Model: ICTCM)を2000年に導入し，1999年の平均在院日数205．7日(1994年の平均在院日数675．5日)を2004年には155．2日に短縮した病院において，学際的なケア提供者と事務責任者を調査対象として，聞き取り調査を行い，統合失調症用のCPとアウトカム管理項目を作成した． (株)星和書店 a·la·care こころのりんしょうa・la・carte 0288-0512 24 1 103 116 20050300 rfj0161560/published_papers/47912431 Shunji Mitsuyoshi Fuji Ren Language-independent computer emotion recognition Proceedings of the 9th IASTED International Conference on Artificial Intelligence and Soft Computing, ASC 2005 417 422 20050000 2-s2.0-84887225415 rfj0161560/published_papers/47725994 Tetsuya Tanioka Isao Nagamine Fuji Ren Kazuyuki Matumoto Keisuke Ueta Yu Lei Yo-Ichiro Takasaka Toshiko Tada Fumiko Hashimoto Yasuko Matsushita Ruriko Yamashita Research on development of the hospital outcomes analysis system for using psychiatric hospitals Proceedings of the 9th IASTED International Conference on Artificial Intelligence and Soft Computing, ASC 2005 434 438 20050000 2-s2.0-47749128325 rfj0161560/published_papers/47679353 Xiang Hua Fuji Ren Shingo Kuroiwa Jiang Peilin An experimentation on creating a mental state transition network ICIA 2005 - Proceedings of 2005 International Conference on Information Acquisition 2005 432 436 20050000 2-s2.0-33947155276 rfj0161560/published_papers/47651462 Kazuyuki Matsumoto Junko Minato Fuji Ren Shingo Kuroiwa Estimating human emotions using wording and sentence patterns ICIA 2005 - Proceedings of 2005 International Conference on Information Acquisition 2005 421 426 20050000 2-s2.0-33749573778 rfj0161560/published_papers/29766065 Fuji Ren Yixin Zhong Greetings from conference co-chairs Proceedings of 2005 IEEE International Conference on Natural Language Processing and Knowledge Engineering, IEEE NLP-KE'05 2005 1 null 20050000 10.1109/NLPKE.2005.1598689 2-s2.0-33847328392 rfj0161560/published_papers/29759392 Jianping Zhang Fuji Ren Tianyun Chen Intelligent Tutoring Systems: Research status and its development in China Proceedings of 2005 IEEE International Conference on Natural Language Processing and Knowledge Engineering, IEEE NLP-KE'05 2005 683 689 20050000 10.1109/NLPKE.2005.1598823 2-s2.0-33748150694 rfj0161560/published_papers/28737219 MA Fattah FJ Ren S Kuroiwa Sentence alignment using hybrid model Proceedings of the 2005 IEEE International Conference on Natural Language Processing and Knowledge Engineering (IEEE NLP-KE'05) 388 392 20050000 rfj0161560/published_papers/26867156 Shingo Kuroiwa Yoshiyuki Umeda Satoru Tsuge Fuji Ren Distributed speaker recognition using speaker-dependent VQ codebook and earth mover's distance. ISCA INTERSPEECH 2005 - Eurospeech, 9th European Conference on Speech Communication and Technology, Lisbon, Portugal, September 4-8, 2005 3085 3088 20050000 rfj0161560/published_papers/17250509 S Chiba FJ Ren S Kuroiwa H Moriguchi T Tanioka Nagamine, I C Kawanishi T Tada M Kishimoto M Nishimura A Yamamoto Analysis of electroencephalographic activity in condition of human emotional activation Proceedings of the Ninth IASTED International Conference on Artificial Intelligence and Soft Computing 1 1 445 450 20050000 rfj0161560/published_papers/17250483 Hu Haiqing Fuji Ren Shingo Kuroiwa Chinese Automatic Question Answering System for Sightseeing Tourists In this paper, we propose a Question-Answering (QA) construction, which synthesizes the answers retrieved to the questions most frequently asked, based on common knowledge and text knowledge about sightseeing information. In order to improve replies more accurately, one must consider the synthetic model based on statistic VSM and the shallow semantic analysis, so that the domain is only limited to sightseeing information. Finally, the result is obtained by evaluation experiments, where high accuracy can be achieved when the results of retrieval are seen as correct, if the correct answer has appeared up to the third higher rank which sorts the value of the resembling degree. The experiments proved the efficiency in our method and it is feasible to use this method to develop Question-Answering technology. 本論文では，観光をドメインとする質問応答システムを提案する．基本的なアイディアは質問に最も頻繁に検索された答えを解答ベースに置き，観光情報に関するテキスト知識に基づいて最適な解答を生成することである．解答をより正確に改善するために，統計的なベクトル空間モデルに基づいた合成モデル，および浅い意味解析を融合した．その結果，領域は単に観光情報に制限されているが，検索と解答の正確率がよい．実験により，本論文で提案した方法の有効性を確かめることができた． International Journal of Information 8 1 177 186 20050100 rfj0161560/published_papers/29715538 Zhong Zhang Hisanaga Fujiwara Fuji Ren Signal processing using translation invariant RI-spline wavelet Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics 1062-922X 4 3267 3272 20040000 10.1109/ICSMC.2004.1400844 2-s2.0-15744396520 rfj0161560/published_papers/29715367 Zhong Zhang Hisanaga Fujiwara Fuji Ren Image processing using 2-D translation invariant RI-spline wavelet Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics 1062-922X 3 2971 2976 20040000 10.1109/ICSMC.2004.1400785 2-s2.0-15744363244 rfj0161560/published_papers/28514820 FJ Ren An algorithm for determining DingYu structural particle using grammar knowledge and statistical information COMPUTATIONAL LINGUISTICS AND INTELLIGENT TEXT PROCESSING 0302-9743 2945 338 349 20040000 rfj0161560/published_papers/26867159 Mohamed Abdel Fattah Fuji Ren Shingo Kuroiwa Internet Archive as a Source of Bilingual Dictionary. IEEE Computer Society International Conference on Information Technology: Coding and Computing (ITCC'04), Volume 2, April 5-7, 2004, Las Vegas, Nevada, USA 298 302 20040000 10.1109/ITCC.2004.1286650 rfj0161560/published_papers/26867158 Qiong Liu Xin Lu Fuji Ren Shingo Kuroiwa Automatic Estimation of Stock Market Forecasting and Generating the Corresponding Natural Language Expression. IEEE Computer Society International Conference on Information Technology: Coding and Computing (ITCC'04), Volume 1, April 5-7, 2004, Las Vegas, Nevada, USA 241 245 20040000 10.1306/09250303033 rfj0161560/published_papers/26867157 Koji Tanaka Fuji Ren Shingo Kuroiwa Satoru Tsuge Acoustic model adaptation for coded speech using synthetic speech. ISCA INTERSPEECH 2004 - ICSLP, 8th International Conference on Spoken Language Processing, Jeju Island, Korea, October 4-8, 2004 null null 20040000 rfj0161560/published_papers/47513777 Shunji Mitsuyoshi Fuji Ren The sensibility inference function by psycho-quantum computer Proceedings of the IEEE International Conference on Systems, Man and Cybernetics 0884-3627 2 1679 1686 20030000 2-s2.0-0242576282 rfj0161560/published_papers/47513641 Taihao Li Fuji Ren Machine translation method using super-function for mobile terminal Proceedings of the IEEE International Conference on Systems, Man and Cybernetics 0884-3627 2 1693 1698 20030000 2-s2.0-0242408694 rfj0161560/published_papers/29884051 Fuji Ren Welcoming Message from the General Chair Institute of Electrical and Electronics Engineers Inc. NLP-KE 2003 - 2003 International Conference on Natural Language Processing and Knowledge Engineering, Proceedings 1 null 20030000 10.1109/NLPKE.2003.1275857 2-s2.0-84945132205 rfj0161560/published_papers/29884040 Shunji Mitsuiyoshi Ya Liu Fuji Ren Joichi R. Ogawa Pragmatic approach in natural language understanding Institute of Electrical and Electronics Engineers Inc. NLP-KE 2003 - 2003 International Conference on Natural Language Processing and Knowledge Engineering, Proceedings 40 49 20030000 10.1109/NLPKE.2003.1275867 2-s2.0-84945127303 rfj0161560/published_papers/28567385 MA Fattah FJ Ren K Shingo A Atlam English/Arabic bilingual dictionary construction using parallel texts from the Internet archive Proceedings of the 46th IEEE International Midwest Symposium on Circuits & Systems, Vols 1-3 978 981 20030000 rfj0161560/published_papers/28552276 S Kuroiwa S Tsuge F Ren Blind equalization via mininuzation of VQ distortion for ETSI standard DSR front-end 2003 INTERNATIONAL CONFERENCE ON NATURAL LANGUAGE PROCESSING AND KNOWLEDGE ENGINEERING, PROCEEDINGS 585 590 20030000 rfj0161560/published_papers/28540352 K Tanaka S Kuroiwa S Tsuge F Ren An acoustic model adaptation using hmm-based speech synthesis 2003 INTERNATIONAL CONFERENCE ON NATURAL LANGUAGE PROCESSING AND KNOWLEDGE ENGINEERING, PROCEEDINGS 368 373 20030000 rfj0161560/published_papers/28534974 M Sasayama F Ren S Kuroiwa Super-function based Japanese-English machine translation 2003 INTERNATIONAL CONFERENCE ON NATURAL LANGUAGE PROCESSING AND KNOWLEDGE ENGINEERING, PROCEEDINGS 555 560 20030000 rfj0161560/published_papers/26867162 Fuji Ren Kazuyuki Matsumoto Shunji Mitsuyoshi Shingo Kuroiwa Gai Lin Researches on the emotion measurement system. IEEE Proceedings of the IEEE International Conference on Systems, Man & Cybernetics: Washington, D.C., USA, 5-8 October 2003 1666 1672 20030000 10.1109/ICSMC.2003.1244652 rfj0161560/published_papers/47503897 Fuji Ren Shunji Mitsuyoshi Machine-aided writing function in MMM project Proceedings of the IEEE International Conference on Systems, Man and Cybernetics 0884-3627 7 117 122 20020000 2-s2.0-0038407727 rfj0161560/published_papers/47503854 Fuji Ren Shigang Li Hongchi Shi Shingo Kuroiwa Semi-automatic acquisition translation knowledge from parallel corpora Proceedings of the IEEE International Conference on Systems, Man and Cybernetics 0884-3627 3 279 284 20020000 2-s2.0-0038345956 rfj0161560/published_papers/47503852 Taihao Li Fuji Ren Shingo Kuroiwa Kenji Kita To define the feature function in extracting Japanese-Chinese bilingual word pairs using maximum entropy modeling Proceedings of the IEEE International Conference on Systems, Man and Cybernetics 0884-3627 3 291 294 20020000 2-s2.0-0038345949 rfj0161560/published_papers/47495966 Shunji Mitsuyoshi Fuji Ren Sentience system computer: Principles and practices Proceedings of the IEEE International Conference on Systems, Man and Cybernetics 0884-3627 4 557 564 20020000 2-s2.0-0036970115 rfj0161560/published_papers/29790411 Xiaoying Tai Fuji Ren Kenji Kita Long-term relevance feedback using simple PCA and linear transformation Institute of Electrical and Electronics Engineers Inc. Proceedings - International Workshop on Database and Expert Systems Applications, DEXA 1529-4188 2002- 261 265 20020000 10.1109/DEXA.2002.1045909 2-s2.0-50249143760 rfj0161560/published_papers/28584206 FJ Ren SG Li K Kita Automatic abstracting important sentences of Web articles 2001 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS, VOLS 1-5 1062-922X 1705 1710 20020000 rfj0161560/published_papers/28572354 HC Shi Y Shang FJ Ren Using natural language to access databases on the Web 2001 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS, VOLS 1-5 1062-922X 429 434 20020000 rfj0161560/published_papers/26867164 Satoru Tsuge Shingo Kuroiwa Masami Shishibori Fuji Ren Kenji Kita Robust feature extraction in a variety of input devices on the basis of ETSI standard DSR front-end. ISCA 7th International Conference on Spoken Language Processing, ICSLP2002 - INTERSPEECH 2002, Denver, Colorado, USA, September 16-20, 2002 null null 20020000 rfj0161560/published_papers/29651327 Hongchi Shi Yi Shang Fuji Ren Using natural language to access databases on the web Proceedings of the IEEE International Conference on Systems, Man and Cybernetics 0884-3627 1 429 434 20010000 10.1109/ICSMC.2001.969850 2-s2.0-0035725066 rfj0161560/published_papers/29651251 Fuji Ren Hongchi Shi Qiang Zhou A hybrid approach to automatic Chinese text checking and error correction Proceedings of the IEEE International Conference on Systems, Man and Cybernetics 0884-3627 3 1693 1698 20010000 10.1109/ICSMC.2001.973529 2-s2.0-0035723267 rfj0161560/published_papers/29651167 Fuji Ren Shigang Li Kenji Kita Automatic abstracting important sentences of Web articles Proceedings of the IEEE International Conference on Systems, Man and Cybernetics 0884-3627 3 1705 1710 20010000 10.1109/ICSMC.2001.973531 2-s2.0-0035720436 rfj0161560/published_papers/26867169 Fuji Ren Hongchi Shi Shingo Kuroiwa A new machine translation approach using multiple translation engines and sentence partitioning. IEEE Proceedings of the IEEE International Conference on Systems, Man & Cybernetics: "e-Systems and e-Man for Cybernetics in Cyberspace", Tucson, Arizona, USA, 7-10 October 2001 1699 1704 20010000 10.1109/ICSMC.2001.973530 rfj0161560/published_papers/17250484 Zhou Qiang Fuji Ren Acquisitions and Applications of Structure Preference Relations in Chainese In this paper, we propose a new ambiguity representation scheme, structure preference relation (SPR), which consists of useful quantitative distribution information for ambiguous structures. Two automatic acquisition algorithms, the first acquired from a Treebank, and the second acquired from raw texts, are introduced, and some experimental results which prove the availability of the algorithms are also given. Finally, we introduce some SPR applications in linguistics and natural language processing, such as preference-based parsing and the discovery of representative ambiguous structures, and propose some future research directions. 本論文では，曖昧な構造のための有用な分散情報から成る新しい曖昧表現スキーム(構造優先権関係(SPR))を提案する．2つの自動的な獲得アルゴリズム，Treebankから獲得したものと生のテキストから獲得したもの，が導入される．また，アルゴリズムの有効性を証明するいくつかの実験結果も与えられる．最後に，私たちは，優先権に基づいた解析および代表的な曖昧な構造の発見のような，言語学および自然言語処理にいくつかのSPR適用を導入し，いくつかの将来の研究方向を提案する． Natural Language Engineering 1351-3249 6 2 163 181 20000601 rfj0161560/published_papers/47433481 Fuji Ren Hongchi Shi General ontology based multi-lingual multi-function multi-media intelligent system IEEE Proceedings of the IEEE International Conference on Systems, Man and Cybernetics 0884-3627 4 2362 2368 20000000 2-s2.0-0034504579 rfj0161560/published_papers/17250485 Fuji Ren 任 福継 財満 康通 自然言語記述からプログラムへの生成を支援するシステムの提案 In this paper we describe AIDPG, an interactive prototype system, which derives computer programs from their natural language descriptions. AIDPG shows how to analyze natural language, solves ambiguities using know ledges, and generates program. AIDPG consists of a natural language input model (NLI-Model), a natural language analysis model(NLA-Model), a program generation model(PGG-Model) and a human machine interface control model(HMC-Model). The PGG model has three sub-models, a program structural manage sub-model, a data structural and type manage sub-model, and a program base manage sub-model. We used arithmetic problems which descripted in Japanese to pass AIDPG and got their run-possible C programs. Although AIDPG is basic currently we got a significant result. ソフトウエア開発において，ユーザの要求を正確にプログラムに反映するためには，ユーザ自身がプログラミングできることが最も望ましい．しかし，一般にユーザはプログラムの開発者ではないので，ユーザがプログラミング言語を学習しプログラムを開発するには大きな困難がともなう．ユーザにより自然言語記述で書かれた要求文をプログラムに変換システムがあれば，ユーザはプログラムを簡単に得ることができる．一方，コンピュータによる自然言語理解は困難であり，しかも自然言語記述には要求が過不足なく反映されるとは限らない．人間にとっては十分な表現であってもコンピュータではその意図を把握することは難しい面もある．本研究ではこのような問題を解決するため，予め用意した知識により自然言語文の曖昧性の解消手法，要求細分類化によりプログラムベースの検索手法，さらに，人間の部分介入によるプログラムの生成方法を提案する．我々はこの方法に基づくプロトタイプシステムAIDPGを構築し，算数の文章問題に関するプログラム生成実験を行った．AIDPGは自然言語入力モデル(NLI-Model)，自然言語解析モデル(NLA-Model)，プログラム生成モデル(PGG-Model)，インターフェース制御モデル(HMC-Model)から構成される．さらに，プログラム生成モデルは，プログラム構造管理モデル，データ構造及びデータタイプ管理モデル，プログラム(関数)ベース操作と管理モデルからなる．ここで，プログラムベースは予めシステムに用意されており，問題固有のプログラム(関数)の集合である．現在，AIDPGはまだ初歩的段階であるが，算数の文章問題のプログラムを生成する実験では，本研究で提案した方法は大変効果的であると考える． HCU-IS 広島市立大学研究報告 99 012 1 11 19991001 rfj0161560/published_papers/17250486 Fuji Ren 任 福継 T+文法の開発及びコーパスの収集 This paper present a new grammar called T+ grammar. T+ grammar tries to use the theme-type characteristics of Chinese and Japanese. We present a new method for Chinese-Japanese Machine Translation (CJMT) using the theme-type characteristics. We consider that Chinese and Japanese are theme-type languages, whose basic syntactic structure are Theme-Subject-Predicate-Object and Theme-Subject-Object-Predicate, respectively. This paper discusses the translation relationships between the deep structure and the surface structures of the syntax. 中国語の複文分解及び各システムを検討し，動詞の細分類を行い，中国語が主題型言語であるという観点から，中日両言語の特徴を抽出し，TSPO性質の中日機械翻訳システムへの応用手法を提案する．さらに，T+文法の概要を述べ，コーパスの収集資料を記述する．ここで，Tは文の主題，Sは文の主語，Pは文の述語，Oは文の目的語を示す．中国語文法の深層構造にはTSPO四つの項があり，TはS，P，Oと同一のレベルで使われている文法項である．実際にはこの深層構造TSPOからTSP，TPO，TSPOという深層構造に派生している．一方，日本語も主題型言語であると考えられる．その深層構造はTSOPであり，TSOPからいろいろな表層構造に派生している．この観点を用いると，従来の文法理論では解決できなかったいくつかの中国語特殊な文型は正確に解釈でき，正しい日本語文を生成できる． HCU-IS 広島市立大学研究報告 99 6 1 83 19990601 rfj0161560/published_papers/17250487 Fuji Ren The Concept of Sensitive Word in Chinese 言語理解についてまず自然言語文を正確に解析しなければならないが，中国語や日本語など連続的に書かれている文に対し形態素解析は極めて重要である．特に中国語文では日本語の格助詞がないので，形態素解析は非常に困難である．多くの言語には，特殊な性能をもつ語群がある．例えば，形態素解析を行う際に，一番困難なことは組み合わせ的な性質をもつ曖昧性をいかに解消するかである．しかしながら，従来の方法ではこの問題を解決できないと考えられる．本論文ではこの問題を解決するため，「敏感語」という新しい概念及び解決方法を提案した．我々は，多くの曖昧性をもつ文字列なかに，数の少ない敏感語のみ検討すればよいという規則を発見した．我々は80,000規模の電子化辞書を用い実験と考察を行い，本論文で提案した方法の有効性を確認することが出来た． [担当部分]方法論，アルゴリズムの開発，実験システムの構築，まとめを担当した． Journal of Natural Language Processing 1340-7619 6 1 59 78 19990101 rfj0161560/published_papers/17250488 Fuji Ren Luo Zhensheng A Multilayer Integration Approach to the Automatic Checking and Correction of Texts Special features of Chinese characters and texts present considerable challenges for the automatic checking and correction of Chinese texts. We present a multilayer integration approach that which combines the rule-based method and the probability-based method to the automatic checking and correction of Chinese texts. First common error types in Chinese texts are analyzed. Then our research system employing the integration approach is discussed in detail. 漢字とテキストの特徴を如何に中国語テキストの自動校正に応用するかが重要な挑戦課題である．我々は多層の統合アプローチを提案する．これは中国語テキストの自動校正における規則に基づく方法と統計的な情報に基づく方法を融合して提案されたアプローチである．まず，中国語テキストにおける共通エラーを収集し分析する．そして，このようなエラーパターンを帰納し規則を纏める．最後に統合アプローチに基づきシステムを構築する．本論文では実験結果と考察を述べる． Technical Report, HCU 98 5 1 11 19980501 rfj0161560/published_papers/17250489 Fuji Ren Jian Youliang Nie Jianyun Automatic Acquisition of Japanese-Chinese Translation Knowledge from Parallel Corpora A crucial problem in rule-based machine translation is the acquisition of translation knowledge. In this paper, we describe a semi automatic process which acquires translation knowledge from examples in Japanese-Chinese translation. The acquired knowledge may concern syntactic structures of sentences in both languages and their correspondence, the constraints associated with the sentence structures, the dependence relationships between words, and so on. Once the acquired knowledge is integrated with an MT system, we observe an improvement in translation quality for the phenomena covered by the examples. 規則に基づく機械翻訳システムを実現するには，一番重大な問題の一つとしては翻訳知識の獲得である．本論文では，私たちは，日中翻訳の例からの翻訳知識を得る半自動プロセスを提案する．獲得された知識は，フレーズ対応関係や，文構造に関連した制約，言葉の依存関係などの構文的な構造に関係があることである．一旦獲得した知識がMTシステムに統合されれば，例によってカバーされた現象用の翻訳品質における改良を観察できた． Technical Report, HCU 98 4 1 16 19980401 rfj0161560/published_papers/17250490 Fuji Ren Nie Jianyun Concept of Sensitive Word In Machine Translation (MT), using compound words or phases makes the translation process easier. For example, the phrase ``information highway&#039;&#039;. It is not necessary to break it down to ``information&#039;&#039; and ``highway&#039;&#039;. However, some compound words(phrases) in Chinese are composed of simpler words which can play significantly different roles in sentences when they are broken down. For example, the compound word ``machine translation&#039;&#039; may be broken into ``machine&#039;&#039; and ``translate&#039;&#039;, as in the sentence ``He uses a machine to translate papers&#039;&#039;. We call such a compound word a sensitive. During Chinese MT processing, if the first segmentation result leads to a failure, the alterative solution with a sensitive word broken down is considered as the preferred one. This allows us to reach at a higher efficiency by avoiding examining impossible segmentation solutions. In this paper, we describe the problems related to sensitive words. A machine readable dictionary has been examined, and more than 800 sensitive words have been found. This shows that sensitive word is a common phenomenon in Chinese that is worth closer examination. 機械翻訳では，複合語単位で利用できれば翻訳過程をより簡単にさせる．例えば，句「情報ハイウェイ」．「情報」および「ハイウェー」までを分離することが必要ではない．しかしながら，中国語のいくつかの複合語(句)は，分類される場合，文に著しく異なる役割を演ずることができる，より単純な言葉からできている．我々はこのような複合語を敏感語とよぶ． 中国語機械翻訳では解析が失敗した場合，敏感語のみに戻りソリューションを快速に見つけることができる． Technical Report, HCU 97 8 1 11 19970801 rfj0161560/published_papers/17250492 Fuji Ren Super-Function Based Machine Translation Approach Over the last decade, the number and diversity of experiments in Rule-Based Machine Translation, Knowledge-Based Machine Translation, and Example-Based Machine Translation have grown significantly. Most of these methods are aiming to build an Automatic High-Quality Translation System (AHQTS). In this paper, we present a new Machine Translation approach called Super-Function Based MT. We use a Super-Function (SF) in the translation engine to enhance the translation quality and to reduce the glossary quality. The Super-Function is a function that shows the correspondence between original language sentence patterns and target language sentence patterns. We used TTB to store SF and to match SF with the input sentence. An experiment on the Japanese-English-Chinese textbook has been simulated. The 61 SFs are acquired and the result shows that this method is efficient. 規則ベースの機械翻訳，知識ベースマシン翻訳および例ベースの機械翻訳の実験の数および多様性は，著しく増大した．これらの方法は，自動的な高品質翻訳システム(AHQTS)を構築することを目標としている．本論文では，スーパー関数に基づいたMTと呼ばれる新しい機械翻訳アプローチを示す．日英中3ヶ国語教科書上の実験がシミュレートされた．結果は，この方法が効率的なことを示す． Technical Report, HCU 97 3 1 16 19970501 rfj0161560/published_papers/17250491 Fuji Ren An Algorithm for Determining Structural Particle In a machine translation system from one language to Chinese, it is difficult to decide whether there is a structural particle ``DE&#039;&#039; between the ``DingYu&#039;&#039; and the ``ZhongXinCi&#039;&#039; where DingYu is a term in Chinese grammar. It resembles the modifier and the limitation word in Japanese, but not the same. The ZhongXinCi is referred to the word modified by DingYu. In this paper, we present a new method for deciding the existence of the structural particle ``DE&#039;&#039; and show an experiment result of the method. A particle Japanese-Chinese machine translation system based translation rules has been implemented by authors, this systems lacks the ability for resolving the problem mentioned above. To resolve this problem, we firstly collect lots of grammar items from Chinese grammar books, and get some elementary judgment rule by classifying and inducing these grammar items, and then we put these judgment rules into use in actual Chinese language, and modify the rules by checking its results instantly. The last we check and modify the rules by using a actual corpus. A experimental system based on these rules has been constructed and an experiment is carried out. The result shows the effectiveness of the proposed method. 本論文では，中国語への機械翻訳における困難な問題すなわち定語中の構造助詞「的」の有無の判定手法およびその実験結果について報告する． ここで，「定語」は中国語文法中の用語であり，日本語の限定語，修飾語と類似しているが，完全に一致していないので，本論文では中国語の表記「定語」を採用している．定語(DY)は，いろいろな面から中心詞(ZXC)を修飾することができるが，定語と中心詞のもつ意味関係はかなり複雑である．さらに，定語の後にはよく構造助詞「的」を伴い，「的」は定語の形式上の標識であるが，すべての定語が後に「的」を伴うわけではない．定語の後に「的」が使われるかどうかは，定語になる語句の性質と定語の表す文法的意味とに関係する． Technical Report, HCU 97 5 null null 19970501 rfj0161560/published_papers/17250493 Fuji Ren Cooperative Distributed Processing for Machine Translation In natural dialogues, speakers make many kinds of ill-formed sentences such as ellipsis. A robust natural language processing system must be able to allow such ill-formed sentences and derive correct interpretations from the ill-formed sentences. But existing machine translation systems reject utterances including ellipses and ill-formed expressions. In this paper, a new concept, Persisting Ellipsis and Critical Ellipsis in machine translation, is put forward, and a method for handling ill-formed sentences, called Cooperative Distributed Machine Translation (CDMT), is presented. The CDMT advocates the ideas: (1) All Constraint based translation process, (2) Syntactic-Constraint based translation process, and (3) Semantic-Constraint based translation process. An experimental system based on this method has been constructed and some results are given in this paper. The results show that CDMT is a promising technique for high-quality and efficient spoken language machine translation. 自然な対話では，省略が多い不適格な文がある．強健な自然言語処理システムはそのような不適格な文を許可し，不適格な文から正確な解釈を引き出すことができるに違いない．しかし，既存の機械翻訳システムは，省略および不適格な表現を含む会話文を拒絶する．本論文は，機械翻訳における新しい概念，固執省略および敏感省略を提案する．また，分散協調機械翻訳手法を提案し，不適格な文を扱う方法を示す． Technical Report, HCU 96 6 1 8 19960601 rfj0161560/published_papers/17250494 Fuji Ren 任 福継 複数のプロセスを用いた協調融合型機械翻訳 In natural dialogues, speakers make many kinds of ill-formed sentences such as ellipsis. A robust natural language processing system must be able to allow such ill-formed sentences and derive correct interpretations from the ill-formed sentences. But existing machine translation systems reject utterances including ellipses and ill-formed expressions. In this paper, a new concept, Persisting Ellipsis and Critical Ellipsis in machine translation, is put forward, and a method for handling ill-formed sentences, called Cooperative Distributed Machine Translation (CDMT), is presented. The CDMT advocates the ideas: (1) All Constraint based translation process, (2) Syntactic-Constraint based translation process, and (3) Semantic-Constraint based translation process. An experimental system based on this method has been constructed and some results are given in this paper. The results show that CDMT is a promising technique for high-quality and efficient spoken language machine translation. 自然な対話では，省略が多い不適格な文がある．強健な自然言語処理システムはそのような不適格な文を許可し，不適格な文から正確な解釈を引き出すことができるに違いない．しかし，既存の機械翻訳システムは，省略および不適格な表現を含む会話文を拒絶する．本論文は，機械翻訳における新しい概念，固執省略および敏感省略を提案する．また，分散協調機械翻訳手法を提案し，不適格な文を扱う方法を示す． HCU-IS 広島市立大学研究報告 96 5 1 21 19960501 rfj0161560/published_papers/17250495 Fuji Ren SWKJC Machine Translation System Based on Translation Rules Acquired from Corpora This paper proposes a method of machine translation system based on translation rules which extract from very large corpora. Unlike in traditional approaches, corpora are separated from translation system. This means that we acquire translation rules from corpora first, and then construct translation system using these translation rules. Therefore, this method fulfills the quick response and high accuracy requirements of a practical machine translation system. The translation rules in this paper refer to word selection rules and translation templates that represent word-level, phrase-level and idiomatic expression-level translation rules. この論文は，大規模のコーパスから抽出する翻訳規則に基づいた機械翻訳システムの方法を提案する．従来のアプローチと異なり，コーパスは翻訳システムから分けられる．これは，私たちがコーパスからの翻訳規則を最初に得て，次にこれらの翻訳規則を使用して，翻訳システムを構築することを意味する．この方法に基づいたSWKJCという日中機械翻訳システムを構築した．SWKJCには8万の語彙項目，3000の特殊な規則を備えた． Technical Report, HCU 96 4 1 31 19960401 rfj0161560/published_papers/17250497 Fuji Ren Processing Method of Reservable Structural Ambiguities in Machine Translation In this paper, a new concept, Reservable Structural Ambiguities (RSA) in Japanese-Chinese machine translation, is put forward. The RSA is structural ambiguities of Japanese that can be translated into Chinese without being resolved. Usually, when translating one language to another which doesn&#039;t belong to the same ``language family&#039;&#039;, structural ambiguities must be resolved. Japanese and Chinese do not belong to the same family and their difference is mainly on sentence structure. However, some parts of their sentences are similar which makes RSA possible. This paper focuses on above issues. Some RSA patterns are discussed and a method for the generation of Chinese from Japanese sentences with RSA is described. 本論文では，日中機械翻訳における可保留構造的曖昧表現を提案する．可保留構造的曖昧表現とは，その曖昧関係を解消しなくても中国語に翻訳することができる日本語構造の曖昧な表現である．通常，異なる言語族にある言語間の機械翻訳について，その構造的な曖昧性を予め解消しなければならないが，可保留曖昧表現は例外できる．本論文はこの問題に注目し，日中機械翻訳における可保留曖昧表現の処理手法を提案する． Technical Report, HCU 95 18 1 18 19951201 rfj0161560/published_papers/17250496 Fuji Ren 任 福継 次世代自然言語における超並列処理について 現在のVLSI技術の進歩には著しいものがあり，従来では不可能であったような計算パワー，メモリ空間が容易に得られるようになってきた．さらに，VLSIの実装密度が飛躍的に向上し数万オーダのプロセッサを実装するような状況下で現実性を帯びてきた計算機アーキテクチャが超並列マシンであり，既にいくつかの製品が発表，販売されている．このような計算機アーキテクチャの革新は，自然言語処理にも影響を与えることは明らかである．このような背景で超並列自然言語処理が必ず登場していると考えられる．また，実現している超並列ハードウエアの特徴と自然言語処理の超並列性が必ずしも一致していない現実もあり，認知理論や言語理論における超並列の必要性の明確化ならびに処理手法レベルでの超並列処理の特徴を考察することは重要なことである．本論文ではまず超並列計算機の出現背景及びハードウエア技術などを考察する．特に，超並列機械翻訳という新しいパラダイムを提案し，いくつかの並列手法を述べる．さらに，現在のモデルで超並列自然言語処理をするときの問題点を考察する．最後に超並列自然言語処理今後の課題について述べる． HCU-IS 広島市立大学研究報告 95 23 1 19 19951201 rfj0161560/published_papers/17250498 范 莉馨 Fuji Ren 任 福継 宮永 喜一 栃内 香次 関連語を用いた文の分解に基づく中日機械翻訳システム 自然言語処理，例えば機械翻訳において，複文の処理は極めて重要であり，それも大変困難である．中国語文の実際上の使用度から見ると，単文が極めて少なく，複文の方が多い．従って，中国語機械翻訳システムの実用という見地から言えば，複文の翻訳は極めて重要である．本論文では，中国語複文と日本語複文との対応関係を検討し，関連語を用いて複文をいくつかの単文に分解し，それぞれの単文の翻訳結果から最終の訳文を生成する手法を提案した．また，関連語の処理を効率的に行うために，多数の教科書及び科学技術文献から関連語に対応する訳文の文型を抽出してそれらを訳文関数と名付け，入力された中国語文中で関連語が認識されたなら，詳細な文法解析を行わず，訳文関数を用いて直接訳文を生成している．さらに，関連語の多義性を解消するため，関連語に関係する要素の意味属性を用いて多義性の解消を行っている． Transactions of Information Processing Society of Japan 情報処理学会論文誌 0387-5806 35 12 2712 2724 19941201 rfj0161560/published_papers/17250499 范 莉馨 Fuji Ren 任 福継 宮永 喜一 栃内 香次 中日機械翻訳における離合詞の処理手法 言語には，系統または規則的な面と無系統または無規則的な面の両面があり，さらには離散的，連続的という両面もあると考えられる．その一例として，我々の研究開発している中日機械翻訳において，中国語の「詞」，特に「離合詞」を考える．離合詞とは，一つの単語は別の単語によっていくつかの部分に分離されているものである．このような離合詞を上手く認識できなければ，機械翻訳はもちろん，形態素解析，構文解析も正確に行われないと考える．本論文ではこのような離合詞の認識方法を提案し，さらにそれを中日機械翻訳へ応用する方式を述べた． Transactions of Information Processing Society of Japan 情報処理学会論文誌 0387-5806 35 9 1702 1713 19940901 rfj0161560/published_papers/17250500 Fuji Ren 任 福継 范 莉馨 宮永 喜一 栃内 香次 日中機械翻訳における係り受け構造の可保留曖昧関係について 非同族言語間の機械翻訳では，原言語の係り受け構造の曖昧性をあらかじめ解消しなければならないと言われている．日本語と中国語は非同族の言語であり，文全体の構造は異なるが，文のある部分ではその語順が同じ部分が存在する．この同じ部分に関しては，日本語の係り受け構造の曖昧性を残したまま翻訳された中国語においても日本語の意味を支障なく復元されると考えられる．この部分の翻訳は，あらかじめ与えておいた訳文関数を用いて行うことができる．本論文では，上記のことに着目して日中機械翻訳における可保留曖昧関係を提案する．可保留曖昧関係は原言語の係り受け構造の曖昧性を解消しなくてもその訳文を生成できる曖昧関係である．具体例として，並列助詞「と」と連体助詞「の」と名詞からなる名詞句および用言連体形からなる文の係り受け構造の可保留曖昧関係について検討し，翻訳手法を提案した．可保留曖昧関係という概念は他の言語ペアに対しても有効であると考える． Transactions of Information Processing Society of Japan 情報処理学会論文誌 0387-5806 34 8 1682 1691 19930801 rfj0161560/published_papers/17250501 Fuji Ren 任 福継 On Reservable Structural Ambiguities in JCMT 日中機械翻訳における可保留曖昧関係 A new concept, Reservable Structural Ambiguities (RSA) in Japanese-Chinese machine translation, is presented. The RSA are structural ambiguities of Japanese which can be translated into Chinese without being resolved. Usually, when translating one language into the other which doesn&#039;t belong to the same ``language family&#039;&#039;, structural ambiguities must be resolved. However, Japanese and Chinese don&#039;t belong to the same family, their differences being mostly on sentence structure. However, some parts of their sentences are similar, making RSA possible, and this paper will focus on them. Some RSA patterns will be discussed and a method for generation of Chinese from Japanese sentences with RSA will be given. An experimental system based on this method has been constructed and an experiment has been carried. The result is correct translation rate of about 97.6 %, showing that the proposed method is quite effective. 新しい概念，日中機械翻訳における可保留曖昧関係(RSA))を提案する．RSAは原言語でその曖昧性を解決されずに，中国語に翻訳することができる日本語の構造的な曖昧な表現である．通常，ある言語を，異なる言語族の他方に翻訳する場合，構造の曖昧な表現を解消しなければならない．しかしながら，日本語と中国語はほとんど文構造上に同じ言語族に属していないが， RSAを可能にして，それらの文のいくつかの部分は類似している．本論文ではいくつかのRSAパタンを検討し，翻訳方法を提案する．この方法に基づいた実験のシステムを構築し，翻訳実験を行った．その結果は提案された方法が全く有効なことを示した． Journal of Dalian University of Technology 33 2 242 251 19930401 rfj0161560/published_papers/17250502 范 莉馨 Fuji Ren 任 福継 栃内 香次 宮永 喜一 中日機械翻訳における複合語の自動合成 機械翻訳において，出来るだけ長い単語を認識して翻訳ルールを適当するのが望ましい．本論文では，中国語の複合語の特徴を検討し，複合語の自動合成手法を提案した．さらに，複合語の日中機械翻訳方法を開発し，実験システムに組み込んでいろいろな翻訳実験を行った結果，本論文で提案した手法は中日機械翻訳システムに極めて有効であることを確認した． Transactions of Information Processing Society of Japan 情報処理学会論文誌 0387-5806 33 9 1103 1113 19920901 rfj0161560/published_papers/17250503 Fuji Ren 任 福継 宮永 喜一 栃内 香次 意味属性による補助語の推定アルゴリズム 日中機械翻訳システムを研究するためには，(1)独立品詞の語順の確定，(2)補助語とくに日本語格助詞に対応する補助語の推定が必要と考えられる．本論文では(2)について論じる．一般に，日本語の各助詞に対応する中国語補助語は一対多であるので，複数補助語候補から正しい補助語の推定は日中機械翻訳を行うとき解決しなければならないという問題がある．本論文では，まず，教科書，文献など約12000文から格助詞及びその関連情報を抽出し，この情報を分析してから，意味属性による日本語格助詞に対応する中国語補助語を推定する手法を提案する．そして，格助詞の多義性を解消する役割をもつ日本語格助詞と中国語補助語との関連表を求め，格助詞を含む1200文の実験を行った．その結果により，提案した手法の有効性を確認することが出来た． Transactions of Information Processing Society of Japan 情報処理学会論文誌 0387-5806 32 11 1374 1382 19911101 rfj0161560/published_papers/17250504 Fuji Ren 任 福継 范 莉馨 宮永 喜一 栃内 香次 家族モデルを用いた文の分解に基づく日中機械翻訳システム 本論文では文の分解による家族モデルを提案し，このモデルを用いた日中機械翻訳実験システムを述べる．家族モデルは父親モジュール，太郎モジュール，次郎モジュール，花子モジュールからなる．父親モジュールは翻訳全体の制御，特に入力文を基本文と常用文型に分解する．太郎モジュールは，基本文の解析を行い，目的言語文法に従って語順の調整を行う．次郎モジュールは，常用文型の処理を行う．花子モジュールは補助語を推定する．最後に，父親モジュールによってすべての情報を総合して訳文を整理する．4つのモジュールが独立的に構築されるので，翻訳システムの改良などが容易に実現される．また，太郎，次郎，花子モジュールは相互間に情報交換がないので，並列処理ができる． Transactions of Information Processing Society of Japan 情報処理学会論文誌 0387-5806 32 10 1249 1258 19911001 rfj0161560/published_papers/17250505 Fuji Ren 任 福継 宮永 喜一 栃内 香次 日中常用文型機械翻訳システム 日本語の文章に頻繁に現れる文型を常用文型と定義する．このような文型を人間が翻訳する場合，その部分の詳しい文法分析を行わず直接に訳文を得ている．本論文ではこのような人間の翻訳方法を見習い，コンピュータでの実現する手法を開発した．この手法で得られた中国語訳文は，常用文型に対応して選択された補助語によりアスペクトやモダリティを満足する．本手法の要点は，(1)各々の常用文型についてその訳文条件を調べ，訳文関数を求めること，(2)訳文関数を用いて直接訳文を生成すること，(3)意味属性によって多義性を解消すること，の3点にまとめられる．この手法は大別して次の3つの部分より構成される．(1)日本語文の解析ならびに常用文型の抽出，(2)日本語常用文型に対応する中国語表現の多義性と多訳性の解消，(3)中国語表現に現れる補助語の語順および修飾対象の確定． The Transactions of the Institute of Electronics, Information and Communication Engineers D-II 電子情報通信学会論文誌(D-II) 0915-1923 74 8 1060 1069 19910801 rfj0161560/published_papers/17250506 Fuji Ren 任 福継 Wei Daozheng Fault Simulation Algorithm for Multiple-Valued Logic Systems 多値論理回路の故障シミュレーションは2値論理回路と異なり，従来の手法では膨大な探索時間が必要なので，大規模な回路について流用できない．本論文では多値論理回路の故障診断の新しい手法を提案した．この手法では，分岐点のみに並列な手法で故障シミュレーションを行い，他の節店に簡単な探索で故障点を同定できるので，高い効率ですべての故障を検索するこつができる．分岐点とは，該節点から一つ以上の経路が存在し，なおかつ，全体的に回路を形成している節点である．本論文では，このような分岐点だけ故障の伝播に敏感であり，このような点の故障を同定できれば，多の節点の故障を簡単に検索できることを示した．幾つかの回路を用い，実験を行ったが，本手法の有効性を確認するこつができた． Journal of Microelectric Test 2 4 36 41 19881000 rfj0161560/published_papers/17250507 Chen Junliang Fuji Ren 任 福継 Ma Yue Graph Algorithm for Fault Simulation in Digital System A new graph algorithm for fault simulation in digital systems is presented. The basic idea of the graph algorithm is to make use of the structural information of the digital system to replace operations on fault lists as used in conventional fault simulation algorithms. The first step in the graph algorithm is to transform a digital system into a special kind of graph named conditional digraph. All sensitized paths (called 1 paths) are identified by traversing the conditional digraph using graph theoretical methods. All faults on 1 paths reachable to the primary outputs of the digital system can be detected. The algorithm for fault simulation in synchronous sequential circuits is given. Graph models for digital systems with memory chips and methods for memory space compression are also described in this paper. デジタル・システム中のフォールト・シュミレーションのため，新しいグラフ・アルゴリズムを提案する．グラフ・アルゴリズムの根本概念は，従来のフォールト・シュミレーション・アルゴリズムの中で使用されるような故障リストに対するオペレーションを交換するためにデジタル・システムの構造の情報を利用することである．グラフ・アルゴリズムの第一歩は，デジタル・システムを条件付きグラフに変形する．敏感になったパスはすべて，条件付きグラフの横断により識別される．デジタル・システムの主要な出力に到達可能な1つのパス上の故障はすべてを検知することができる．同時のシーケンス回路中のフォールト・シュミレーション用のアルゴリズムが与えられる． メモリー・チップを備えたデジタル・システムのためのグラフ・モデルおよびメモリ・スペース圧縮のための方法も，この論文に記述される． Journal of Beijing University of Posts and Telecommunications 10 3 1 10 19871000 rfj0161560/published_papers/26867405 Fuji Ren Shun Nishide Kazuyuki Matsumoto XIN KANG Duo Feng Mengjia He Artificial Intelligence with Uncertainty NTS null null rfj0161560/misc/37281751 賀 夢佳 西出 俊 任 福継 Meaning detection on Semantic analysis by Fusing Case analysis and Ontology 格解析とオントロジーを融合した意味解析の語意味検出 (思考と言語) 電子情報通信学会 電子情報通信学会技術研究報告 = IEICE technical report : 信学技報 0913-5685 115 69 7 12 20150604 rfj0161560/misc/35482000 Matsumoto Kazuyuki 松本 和幸 Onishi Tsubasa 大西 翼 Kita Kenji 北 研二 Ren Fuji 任 福継 E-037 Construction and Analysis of Scenario Dialogue Emotion Corpus E-037 シナリオ対話感情コーパスの構築と分析(対話・コミュニケーション,E分野:自然言語・音声・音楽) Forum on Information Technology FIT(電子情報通信学会・情報処理学会)運営委員会 情報科学技術フォーラム講演論文集 11 2 243 244 20120904 rfj0161560/misc/28665438 Yixian Yang Fuji Ren Computational Intelligence for Network Control and Security Foreword INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS 1875-6883 5 5 805 807 20120900 10.1080/18756891.2012.733201 rfj0161560/misc/35478754 Li Yang 李 楊 Matsumoto Kazuyuki 松本 和幸 Kita Kenji 北 研二 Ren Fuji 任 福継 E-012 Automatic Construction of Japanese-Chinese Word Dictionary on Super-Function Extraction for Japanese-Chinese Machine Translation E-012 日中機械翻訳のためのスーパー関数抽出における対訳辞書自動構築(言語資源,E分野:自然言語・音声・音楽) Forum on Information Technology FIT(電子情報通信学会・情報処理学会)運営委員会 情報科学技術フォーラム講演論文集 10 2 221 222 20110907 rfj0161560/misc/35478720 Matsumoto Kazuyuki 松本 和幸 Kita Kenji 北 研二 Ren Fuji 任 福継 E-032 Estimating Emotion of Wakamono Kotoba Based on Similarity of Example Sentences E-032 用例間の類似度に基づく若者言葉の感情推定手法(感情・評判,E分野:自然言語・音声・音楽) Forum on Information Technology FIT(電子情報通信学会・情報処理学会)運営委員会 情報科学技術フォーラム講演論文集 10 2 281 284 20110907 rfj0161560/misc/38036954 MIFUNE Masaki 御船 正樹 SUZUKI Motoyuki 鈴木 基之 REN Fuji 任 福継 KITA Kenji 北 研二 Construction of Speaker Model Using A New GMM Learning Method Based on Clustering クラスタリングに基づくGMM学習法による話者モデルの構築 In the speaker identification research fields, Gaussian Mixture Models (GMM) are widely used as speaker models because characteristics of the speaker can be represented by using many Gaussians, and parameters of GMM can be estimated automatically by using the EM algorithm. However, there is a overfitting problem when the number of training samples is small, or a number of parameters should be estimated. In general, a speaker model represents many kinds of speech. Therefore, it seems to be natural that each Gaussian in a GMM corresponds to each part of speech, such as phoneme, words, and other kinds of clusters. However, we cannot find any correspondence between Gaussians and speech data. 話者識別において話者モデルとしてガウス混合分布(GMM)が広く用いられている.これはGMMが複雑な話者の特徴を確率分布として表現でき,EMアルゴリズムでモデルのパラメータを推定できるからである.しかし,モデルを推定するための訓練データが少ない場合や,訓練データに対して混合数が多い場合は過学習を起こすという問題がある.また,話者モデルとしてGMMを用いる場合,各ガウス分布が音響特徴が類似した音声の一部とそれぞれ対応することが望ましい.しかし,最尤推定でパラメータを推定した場合は,必ずしも対応関係があるとはいえない.そこでクラスタリングに基づいたGMM学習法を提案する.これはクラスタリングを使用することで,ある一部の音声と各ガウス分布との対応関係を明確にし,それぞれの分布に属する特微量を調整することで過学習を防ぐ.本論文では,この提案方法によりパラメータを推定したGMMと,最尤推定でパラメータを推定したGMMの話者識別率を比較した.その結果,提案方法で推定したGMMは最尤推定でパラメータを推定したGMMに比べて最大11.6%精度の改善が得られた. The Institute of Electronics, Information and Communication Engineers 一般社団法人電子情報通信学会 IEICE technical report 電子情報通信学会技術研究報告. SP, 音声 0913-5685 111 153 7 10 20110714 rfj0161560/misc/38102903 Ren Fuji 任 福継 Suzuki Motoyuki 鈴木 基之 Matsumoto Kazuyuki 松本 和幸 Internationalization of Campus Navigation Robot 工学部案内の国際化対応プロジェクト We have developed an intelligent campus navigation robot, which can communicate with a human by speech. It also recognizes user's emotion from a voice and a facial expression, and the agent represents it's own emotion using voice and behavior. Inthispaper, we improve the robot to be able to deal with multi languages. It is needed to guide campus information with English, Chinese, and other languages, but it is hard to develop many communication systems each of which corresponds to each language. Therefore, we have introduced a machine translation system in the robot. It realized that the core dialog system can be used for many languages. We also have introduced an ontology as a knowledge representation. It represented a knowledge smaller than conventional representations, and it realized that the robot can accept more various representation as input. The University of Tokushima 徳島大学 Bulletin of Institute of Technology and Science the University of Tokushima 徳島大学大学院ソシオテクノサイエンス研究部研究報告 2185-9094 56 8 17 20110000 rfj0161560/misc/37990394 REN Fuji 任 福継 Enriching Mental Engineering 豊心工学 A new academic system called "Enriching Mental Engineering" (EME) is presented. EME aims to deal with the mental of human being and to have some engineering methods for enriching mental. In this paper, the definition, research contents and the study method of EME will be described. A new concept about the measure of mental richness will be proposed and a Emotion Energy Fuction will be presented to estimate the external stimulus. The newest progress and future works of EME are also given in the paper. 現代社会の人間の心の貧しさを痛感し,心の豊かさを扱う工学(以下,「豊心工学」と略記)を一つの新しい学問として確立させる必要がある.本稿では,「豊心工学」の学問上の定義,内容,手法を明らかにする.そして,心の豊かさの工学的定義,及び心の豊かさの尺度を提案する.さらに,感情エネルギー関数を提案し,この関数により外部刺激を推定する手法を提案する.最後に,心的状態遷移ネットワークを含む研究の状況と今後の課題を述べる. The Institute of Electronics, Information and Communication Engineers 一般社団法人電子情報通信学会 IEICE technical report 電子情報通信学会技術研究報告. TL, 思考と言語 0913-5685 110 244 19 24 20101016 rfj0161560/misc/37614888 SUZUKI MOTOYUKI 鈴木 基之 OKAMATSU TATSUNORI 岡松 竜徳 REN FUJI 任 福継 On-set detection method of notes in singing voice based on tonal information 音程に注目した歌唱音声中の音符区間推定 本報告では，歌声を用いた音楽検索システムに用いるため，歌詞付きの歌唱音声から音符の区切り時刻を自動で検出する方法を提案する．従来から用いられてきたパワーの情報による区切り推定を行ったあと，すべてのフレーム間において音程を計算し，その変化する時刻を差分値のヒストグラムを用いて検出する．実際の歌唱音声に対して音符の区切り時刻の推定実験を行ったところ，従来のパワーによる方法での検出性能が F 値で 0.513 だったのに対し，提案する方法では 0.729 と，大幅に性能を向上させることができた．It is desirable that an Music Information Retrieval (MIR) system accepts a singing voice with lyrics as a retrieval key. In order to use a front-end of a Query-by-Singing MIR system, a new on-set detection method has been proposed. After detecting on-set frames by using power information, tonal intervals are calculated for all combinations of frames, and on-set frames are detected by using partial differential coefficients and its histogram. Experimental results showed the proposed method gave higher performance than the power-based method. F-value of the proposed method was 0.729, and f-value of the powerbased method was only 0.513. 情報処理学会 研究報告音楽情報科学(MUS) 0919-6072 2010 9 1 6 20100520 rfj0161560/misc/37992985 YOSHIOKA Naoki 吉岡 直輝 MATSUMOTO Kazuyuki 松本 和幸 REN Fuji 任 福継 A method to construct English-Japanese builingual sentence database to support writing papers of science and technology in English 英語科学技術論文執筆支援のための日英対訳例文データベース自動構築手法 全国大会講演論文集 72 477 478 20100308 rfj0161560/misc/37992954 KATSURA Yasushi 桂 康 MATSUMOTO Kazuyuki 松本 和幸 REN Fuji 任 福継 Expantion of Super-Function for Adjective to affect Noun 名詞にかかる形容詞を対象としたSuper-Functionの拡張 全国大会講演論文集 72 489 490 20100308 rfj0161560/misc/37992908 OGAWA Takuki 小川 拓貴 MATSUMOTO Kazuyuki 松本 和幸 REN Fuji 任 福継 Emotion estimation for short sentence using word 1-gram as the feature 単語1-gramを用いた短文からの感情推定 全国大会講演論文集 72 365 366 20100308 rfj0161560/misc/37990411 ISAWA Ken 井澤 健 SUZUKI Motoyuki 鈴木 基之 REN Fuji 任 福継 Construct a Campus Navigation Robot to Express in Emotion 感情の表出ができる学内案内ロボットの構築について 全国大会講演論文集 72 351 352 20100308 rfj0161560/misc/37925499 SATO Tatsuya 佐藤 達也 SUZUKI Motoyuki 鈴木 基之 REN Fuji 任 福継 Building of Dialogue System to Variety Speech Based on Ontology オントロジーに基づく多様な発話に対応した対話システムの構築 全国大会講演論文集 72 625 626 20100308 rfj0161560/misc/37923823 ADACHI Masashi 足立 征士 SUZUKI Motoyuki 鈴木 基之 REN Fuji 任 福継 An Improvement of Speech Coding considering a Property of LSP Parameter LSP係数の性質を考慮した音声符号化の改善 全国大会講演論文集 72 205 206 20100308 rfj0161560/misc/37923760 OKAMATSU Tatsunori 岡松 竜徳 SUZUKI Motoyuki 鈴木 基之 REN Fuji 任 福継 Detection note are based on the musical Interval changes 音程変化に基づく歌唱音声の音符区間検出 全国大会講演論文集 72 177 178 20100308 rfj0161560/misc/28957735 Fuji Ren Xiaojie Wang SPECIAL ISSUE ON NATURAL LANGUAGE PROCESSING AND KNOWLEDGE ENGINEERING INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL 1349-4198 6 3B 1459 1459 20100300 rfj0161560/misc/27917303 栗原健 松本和幸 土屋誠司 REN Fuji Semantic Analysis of Metaphor &quot;A-no-B&quot; based on Sememe 意味素に基づく隠喩の名詞句``AのB''の意味解析 情報処理学会研究報告(CD-ROM) 2186-2583 2009 5 ROMBUNNO.FI-97,NO.1 null 20100215 rfj0161560/misc/37911275 OGAWA TAKUKI 小川 拓貴 MATSUMOTO KAZUYUKI 松本 和幸 REN FUJI 任 福継 About emotion estimation of "<i>Emonyu</i>" short sentence "えもにゅ"における短文の感情推定について 本研究では,Webサービス"えもにゅ"の投稿文をコーパスとして用い, 単語1-gramを素性としたSVMによるつぶやきや一言を対象とした感情推定手法を提案する."えもにゅ"とは一言メモに感情マークを付加して投稿できるWebサービスで, この投稿文をコーパスとして用いることで書き手の感情をコーパスに直接反映でき, また感情タグ付け作業を削減できる. 単語1-gramを素性とした理由としては, つぶやきや一言のような短文において書き手が感情表現する際に単語や記号の言語的意味を用いて感情を表現することが多いと考えられる事,1文あたりに含まれる素性の数が少ないつぶやきや一言から十分な素性の出現頻度を得るためには素性数を抑えることで1素性あたりの出現頻度を上げる必要がある事が挙げられる. 評価実験として, 単語1-gramを素性とした場合と単語2-gramを素性とした場合で比較をしたところ, F値を評価基準とすると単語1-gramを素性とした場合の方が全ての感情において高い値を示した.This paper proposes a SVM-based emotion estimation method from a short message or a word by using word 1-gram as feature and use contribution of "Emonyu" as a corpus. "Emonyu" is a web service to which users contribute a short message or a word with a emotion mark.Therefore, the corpus using"Emonyu"contribution enables reflect writer's emotion directly,and reduce work of adding emotion tags to sentences of corpus. We use word 1-gram as feature is,in short sentences like a short message or a word including a few features,a writer generally express emotion using a linguistic meaning of a word or a mark and it is necessary to reduce a number of kinds of feature to get exact appear frequency of features. The result of experiments show that the F-measure of proposed method is higher than the F-measure of method using word 2-gram as a feature in all emotions. 情報処理学会 研究報告自然言語処理(NL) 0919-6072 2010 2 1 6 20100121 rfj0161560/misc/37911247 KURIHARA TAKERU 栗原 健 MATSUMOTO KAZUYUKI 松本 和幸 TSUCHIYA SEIJI 土屋 誠司 REN FUJI 任 福継 Semantic Analysis of Metaphor "A-no-B"based on Sememe 意味素に基づく隠喩の名詞句"AのB"の意味解析 新聞記事や日常会話など，自然言語を扱う様々な場面で比喩表現が使用されている．我々は比喩表現を使うことで微妙なニュアンスの意志を伝えることが出来る．しかし，比喩，特にその中の隠喩の意味解析は難しく，従来では有効な実現例は示されていない．そこで，本研究では隠喩の名詞句"AのB"の意味解析手法を提案する．本論文では，隠喩の名詞句"AのB"を対象とした辞書である隠喩辞書を独自で構築し，その辞書を検索することで意味解析を行う．提案手法の特徴として，意味素と単語の組をクエリとして与えることで，柔軟な検索が出来ることが挙げられる．評価実験を行い，提案手法によって70%程度の精度で隠喩の意味を出力できることを確認した．The metaphor expression is used in various scenes that treat the natural language like the newspaper articles and the daily conversation, etc. We can express our intention by using metaphor expressions. However, it is very difficult to analyze metaphor expression by a computer. This paper constructs two kind of metaphor dictionaries. We also analyze meaning of metaphor"A-no-B" by searching metaphor dictionaries. Using the method described in this paper, we showed that this method was able to analyze meaning of metaphor A-no-B" with accuracy about 70%. 情報処理学会 研究報告自然言語処理(NL) 0919-6072 2010 1 1 6 20100121 rfj0161560/misc/37436751 Ren Fuji 任 福継 Suzuki Motoyuki 鈴木 基之 Development of Campus Navigation Robot Based on Affective Computing 感情認識及び感情創生に基づく知的学内案内ロボットの構築 Recent years, a huge amount of information is available through the internet, and many informationretrievers have been developed. However, these retrievers only show retrieved results without heartycommunication.In this paper, an intelligent campus navigation robot is developed. It recognizes a user's utteranceusing a speech recognizer, and retrieves information from a knowledge database. Finally, theagent makes an appropriate answer from retrieved results, and give it to the user. In order tocommunicate with a user warmheartedly, the agent also recognizes user's emotion from a voice anda facial expression, and the agent represents it's own emotion using voice and behaviour. The University of Tokushima 徳島大学 Bulletin of Institute of Technology and Science the University of Tokushima 徳島大学大学院ソシオテクノサイエンス研究部研究報告 2185-9094 55 9 18 20100000 rfj0161560/misc/37911260 DING Yuhua 丁 育華 REN Fuji 任 福継 Constructing Chinese Internet Terminology Corpus 中国語インターネット用語コーパスの構築及び分析について 近年，インターネットの普及に伴い，従来の伝統言語形式と異なるインターネット用語は出現している．インターネット用語は特に若者達に愛用され，その自己表現の手段の 1 つとして流行されている．本稿は，従来の自然言語処理ではあまり扱わなかった中国語インターネット用語のコーパスを構築，分析することを目的とし，中国語インターネット用語をその用途や形式，出典に基づいて 8 種類に分けた．また，各類別の分布を分析し，さらにインターネット用語に反映される若者達の心理を解析した．In recent years, internet widely used in the internet industry with a different form of the traditional languages i.e. internet terminology has been emerged. The internet terminology is very popular among young peoples, and it is used for self-expression. A few researchers have studied the Chinese internet terminology language processing but exact meaning of the words is not completely understood yet. Therefore an attempt has been made to build the corpus of Chinese internet terminology. In this paper, the Chinese internet terminology is divided into eight types based on the purpose, format, and source. We have carried out the analysis of the distribution of each category, and the psychology of young people reflected in the Chinese internet terminology. 情報処理学会 研究報告自然言語処理(NL) 0919-6072 2009 4 1 7 20090921 rfj0161560/misc/27917305 渋谷隼人 鈴木基之 土屋誠司 FUJI Ren オノマトペデータベースを用いた未知のオノマトペの印象推定手法 電気学会電子・情報・システム部門大会講演論文集(CD-ROM) 2009 ROMBUNNO.GS14-3 null 20090903 rfj0161560/misc/37621127 Quan Changqin Changqin Quan Ren Fuji Fuji Ren Chinese Emotional Expressions Analysis: Construction of a Blog Emotion Corpus The Internet is frequently used as a medium for communication or expression of emotions. In this study a blog emotion corpus is constructed for Chinese emotional expression analysis. This corpus contains manual annotation of emotion category, emotion intensity, emotion holder, emotion target, emotional keyword/phrase, and other linguistic expressions that indicate emotion. There are 198 documents, 5, 608 sentences, 135, 606 Chinese words contained in this corpus. The Internet is frequently used as a medium for communication or expression of emotions. In this study a blog emotion corpus is constructed for Chinese emotional expression analysis. This corpus contains manual annotation of emotion category, emotion intensity, emotion holder, emotion target, emotional keyword/phrase, and other linguistic expressions that indicate emotion. There are 198 documents, 5,608 sentences, 135,606 Chinese words contained in this corpus.The Internet is frequently used as a medium for communication or expression of emotions. In this study a blog emotion corpus is constructed for Chinese emotional expression analysis. This corpus contains manual annotation of emotion category, emotion intensity, emotion holder, emotion target, emotional keyword/phrase, and other linguistic expressions that indicate emotion. There are 198 documents, 5,608 sentences, 135,606 Chinese words contained in this corpus. Information Processing Society of Japan (IPSJ) 一般社団法人情報処理学会 IPSJ SIG Notes 研究報告自然言語処理(NL) 2009 2 49 55 20090115 rfj0161560/misc/27917311 REN Fuji 鈴木基之 土屋誠司 Development of Campus Navigation Robot Using Intelligent Agent 知能エージェント及び工学部ナビゲーションシステムの開発 Recent years, a huge amount of information is available through the internet, and many informationretrievers have been developed. However, these retrievers only show retrieved results without heartycommunication.In this paper, an intelligent agent is developed. It recognizes a user's utterance using a speechrecognizer, and retrieves information from the World Wide Web. Finally, the agent makes anappropriate answer from retrieved results, and give it to the user. In order to communicate with auser warmheartedly, the agent also recognizes user's emotion from a voice and a facial expression,and the agent represents it's own emotion using voice and behaviour.We also develop the intelligent campus navigation robot using the proposed intelligent agent.The robot can give a user campus information, chat with a user, and communicate with a userwarmheartedly. The University of Tokushima 徳島大学 徳島大学大学院ソシオテクノサイエンス研究部研究報告(Web) 2185-9094 54 54 1-10 (WEBONLY)10 20090000 rfj0161560/misc/27917313 YANG Ye JIANG Peilin 土屋誠司 REN Fuji 語用論に基づく「論語」検索システムの構築 情報科学技術フォーラム講演論文集 7th 213 214 20080820 rfj0161560/misc/39178683 LI Yun Yun Li HUANG Kaiyan Kaiyan Huang TSUCHIYA Seiji Seiji Tsuchiya REN Fuji Fuji Ren Searching and Computing for Vocabularies with Semantic Correlations from Chinese Wikipedia Searching and computing for vocabularies with semantic correlations from Chinese Wikipedia (自然言語処理) This paper introduces our research and experiment on searching for semantically correlated vocabularies in Chinese Wikipedia pages and computing semantic correlations. Based on the 54, 745 structured documents generated from Wikipedia pages, we explore about 400,000 pairs of Wikipedia vocabularies considering of hyperlinks, overlapped text and document positions. Semantic relatedness is calculated based on the relatedness of Wikipedia documents. From comparing experiment we analyze the reliability of our measures and some other properties. This paper introduces our research and experiment on searching for semantically correlated vocabularies in Chinese Wikipedia pages and computing semantic correlations. Based on the 54 745 structured documents generated from Wikipedia pages we explore about 400 000 pairs of Wikipedia vocabularies considering of hyperlinks overlapped text and document positions. Semantic relatedness is calculated based on the relatedness of Wikipedia documents. From comparing experiment we analyze the reliability of our measures and some other properties.This paper introduces our research and experiment on searching for semantically correlated vocabularies in Chinese Wikipedia pages and computing semantic correlations. Based on the 54,745 structured documents generated from Wikipedia pages, we explore about 400,000 pairs of Wikipedia vocabularies considering of hyperlinks, overlapped text and document positions. Semantic relatedness is calculated based on the relatedness of Wikipedia documents. From comparing experiment we analyze the reliability of our measures and some other properties. Information Processing Society of Japan (IPSJ) 一般社団法人情報処理学会 IPSJ SIG Notes 情報処理学会研究報告自然言語処理(NL) 0919-6072 2008 33 105 112 20080328 rfj0161560/misc/39178717 LIU Ye 劉曄 TENG Zhi 滕智 TSUCHIYA Seiji 土屋 誠司 REN Fuji 任福継 A Study of the Guidebook System with Application in SVM and Syntactic Analysis based on VSM VSMに基づくSVMと構文解析手法を用いた旅行案内システムの構築 Numerous various kinds of information on present Web, make the retrieval possible to everything exist. However, excessive information also make it difficult to retrieve the one you really want, particularly, when the knowledge is scarce(for instance, it goes sightseeing). Therefore, in our research, we propose a sightseeing guide system which classify the user's query with SVM and then calculate the similarity by VSM. In the experiment result, the accuracy was 55% and about 22% higher than the one without VSM classification. It can be said that the proposed system is effective. Web上には多種多様な情報が莫大な量存在する現在，分からないことは何でもWebを利用して調べることができる．しかしその反面，情報過多な状況下で，本当に欲しい情報を見つけにくくなっていることもまた現実である．特に，検索したい情報に対する知識が乏しいとき(例えば，観光に出かける場合など)にはその現象は顕著である．そこで本研究では，ユーザが入力したクエリーをその内容によって事前にSVMにより分類し，その結果を利用してVSMにより類似度計算を行う構成の観光案内システムを提案した．実験の結果，約55%の性能であることが分かったが，SVMによるクエリー分類を行わない手法に比べて約22%性能が向上することを確認した．これらのことから，本研究で提案した構成は有効であるといえる．Numerous various kinds of information on present Web, make the retrieval possible to everything exist. However, excessive information also make it difficult to retrieve the one you really want, particularly, when the knowledge is scarce (for instance, it goes sightseeing). Therefore, in our research, we propose a sightseeing guide system which classify the user's query with SVM and then calculate the similarity by VSM. In the experiment result, the accuracy was 55% and about 22% higher than the one without VSM classification. It can be said that the proposed system is effective. Information Processing Society of Japan (IPSJ) 一般社団法人情報処理学会 IPSJ SIG Notes 情報処理学会研究報告自然言語処理(NL) 0919-6072 2008 33 19 24 20080327 rfj0161560/misc/27917315 松本和幸 湊純子 土屋誠司 REN Fuji Proposal of a method for extracting emotional expressions based on an emotion annotated Japanese-English parallel corpus 日英対訳感情表現コーパスに基づく感情表現抽出手法の提案 This paper statistically studies the emotional features of Japanese and English based on an emotion annotated parallel corpus and proposes a method for extracting emotional expressions. The proposed method estimates the emotion category of the emotional expressions by focusing on the three kinds of features: part of speech of emotional expression, position of emotional expression and part of speech of the previous/next morpheme of the target emotional expression. The evaluation experiment resulted over 90.0% (joy, hate) of accuracy in the method based on part of speech features. 本稿では，日英両言語における感情表現の特徴をコーパスに基づく統計的調査により導出し，得られた結果を用いた感情表現抽出手法の提案を行なう．感情タグ付きパラレルコーパスから得た感情カテゴリごとの感情表現の特徴には感情表現そのものが持つ特徴と周辺の形態素等が持つ特徴とがある．提案手法では，これらの複数の特徴を組み合わせることで，感情表現が示す感情の種類を判定する．具体的には，感情表現を構成する品詞，感情表現の出現位置，感情表現の前後の単語の品詞に着目し，感情表現の抽出を行なった．評価実験の結果，品詞特徴を用いた手法は"喜び" と"嫌悪" において判定精度90%以上という結果を得た．This paper statistically studies the emotional features of Japanese and English based on an emotion annotated parallel corpus and proposes a method for extracting emotional expressions. The proposed method estimates the emotion category of the emotional expressions by focusing on the three kinds of features: part of speech of emotional expression, position of emotional expression and part of speech of the previous/next morpheme of the target emotional expression. The evaluation experiment resulted over 90.0% (joy, hate) of accuracy in the method based on part of speech features. Information Processing Society of Japan (IPSJ) 一般社団法人情報処理学会 情報処理学会研究報告 0919-6072 2008 33(NL-184) 69 75 20080327 rfj0161560/misc/27917318 袴田愛 土屋誠司 REN Fuji Expression Generation Method of Conversation Agent based on Mental Model 心的モデルを用いた会話エージェントの表情生成手法 人工知能学会言語・音声理解と対話処理研究会資料 0918-5682 52nd 03 08 20080225 rfj0161560/misc/27917317 足立征士 土屋誠司 REN Fuji A Proposal of the Emotion Presumption System using World and Features of Speech 単語表記と音声特徴を用いた聞き手の感情推定手法の提案 人工知能学会言語・音声理解と対話処理研究会資料 0918-5682 52nd 09 14 20080225 rfj0161560/misc/26867193 KITA Masahiko 喜多 雅彦 KUROIWA Shingo 黒岩 眞吾 TSUGE Satoru 柘植 覚 MAKINAE Hisanori 蒔苗 久則 OSANAI Takashi 長内 隆 KAMADA Toshiaki 鎌田 敏明 TANIMOTO Masumi 谷本 益巳 TSUCHIYA Seiji 土屋 誠司 FUKUMI Minoru 福見 稔 REN Fuji 任福継 Text-independent speaker verification experiment using a large-scale bone-conducted speech database 大規模話者骨導音声データベースを用いたテキスト独立型話者照合実験 In this paper, we conducted a speaker verification experiment using large-scale speech database maintained by National Research Institute of Police Science, Japan. In this exepriment, we used speech data of 664 people collected by a capacitor microphone and a bone-conducted microphone. From experimental results, we confirmed that our proposed method that uses rank information obtained by multiple speaker model in previous work improved verification performance than a conventional method using T-norm score. In addition, we compared the speaker model based on GMMs and that based on VQ centroids. From this comparison, we can see that the speaker model based on VQ centroids is higher performance than that based on GMMs under the condition of the capacitor microphone speech. However, VQ centroids degraded the performance of that based on GMMs under the condition of the bone-conducted speech. Moreover, the performances of the bone-conducted speech significant degraded performance if there were difference of the speaking session between the registration and the testing. 本稿では，科学警察研究所によって構築された大規模話者骨導音声データベースを用いた話者照合実験を行った結果を報告する．実験には，664名(男性 336名，女性 328名)のコンデンサマイクで収録された音声(気導音)，骨導マイクで収録された音声(骨導音)を用いた．実験では，以前我々が提案した複数話者モデルの順位情報を用いた話者照合手法を評価した．また，話者モデルとして GMM とベクトル量子化 (VQ) セントロイドの比較，発声時期の違いによる照合精度の比較を行った．実験結果より，提案手法は従来の T-Norm を用いた話者照合手法より高い照合精度を示すことが観測された．さらに，話者モデルの違いによる照合精度の比較結果より，気導音では VQ セントロイドを用いた方が照合精度が高く，骨導音では GMM を用いた方が高いことが観測された．また，骨導音による照合精度は気導音より低く，さらに骨導音は時期差が生じた場合，照合精度低下が著しいことが観測された．In this paper, we conducted a speaker verification experiment using large-scale speech database maintained by National Research Institute of Police Science, Japan. In this exepriment, we used speech data of 664 people collected by a capacitor microphone and a bone-conducted microphone. From experimental results, we confirmed that our proposed method that uses rank information obtained by multiple speaker model in previous work improved verification performance than a conventional method using T-norm score. In addition, we compared the speaker model based on GMMs and that based on VQ centroids. From this comparison, we can see that the speaker model based on VQ centroids is higher performance than that based on GMMs under the condition of the capacitor microphone speech. However, VQ centroids degraded the performance of that based on GMMs under the condition of the bone-conducted speech. Moreover, the performances of the bone-conducted speech significant degraded performance if there were difference of the speaking session between the registration and the testing. 一般社団法人情報処理学会 IPSJ SIG Notes 情報処理学会研究報告音声言語情報処理(SLP) 0919-6072 2007 129 183 188 20071220 rfj0161560/misc/26867196 KITA Masahiko 喜多 雅彦 KUROIWA Shingo 黒岩 眞吾 TSUGE Satoru 柘植 覚 MAKINAE Hisanori 蒔苗 久則 OSANAI Takashi 長内 隆 KAMADA Toshiaki 鎌田 敏明 TANIMOTO Masumi 谷本 益巳 TSUCHIYA Seiji 土屋 誠司 FUKUMI Minoru 福見 稔 REN Fuji 任 福継 Text-independent speaker verification experiment using a large-scale bone-conducted speech database 大規模話者骨導音声データベースを用いたテキスト独立型話者照合実験 In this paper, we conducted a speaker verification experiment using large-scale speech database maintained by National Research Institute of Police Science, Japan. In this exepriment, we used speech data of 664 people collected by a capacitor microphone and a bone-conducted microphone. From experimental results, we confirmed that our proposed method that uses rank information obtained by multiple speaker model in previous work improved verification performance than a, conventional method using T-norin score. In addition, we compared the speaker model based on GMMs and that based on VQ centroids. From this comparison, we can see that the speaker model based on VQ centroids is higher performance than that based on GMMs under the condition of the capacitor microphone speech. However, VQ centroids degraded the performance of that based on GMMs under the condition of the bone-conducted speech. Moreover, the performances of the bone-conducted speech significant degraded performance if there were difference of the speaking session between the registration and the testing. 本稿では,科学警察研究所によって構築された大規模話者骨導音声データベースを用いた話者照合実験を行った結果を報告する.実験には,664名(男性336名,女性328名)のコンデンサマイクで収録された音声(気導音),骨導マイクで収録された音声(骨導音)を用いた.実験では,以前我々が提案した複数話者モデルの順位情報を用いた話者照合手法を評価した.また,話者モデルとしてGMMとベクトル量子化(VQ)セントロイドの比較,発声時期の違いによる照合精度の比較を行った.実験結果より,提案手法は従来のT-Normを用いた話者照合手法より高い照合精度を示すことが観測された.さらに,話者モデルの違いによる照合精度の比較結果より,気導音ではVQセントロイドを用いた方が照合精度が高く,骨導音ではGMMを用いた方が高いことが観測された.また,骨導音による照合精度は気導音より低く,さらに骨導音は時期差が生じた場合,照合精度低下が著しいことが観測された. 一般社団法人電子情報通信学会 IEICE technical report 電子情報通信学会技術研究報告. NLC, 言語理解とコミュニケーション 0913-5685 107 405 183 188 20071213 rfj0161560/misc/39182168 SHINOMIYA Mizuho 四宮 瑞穂 MISHINA Kenichi 三品 賢一 TSUCHIYA Seiji 土屋 誠司 REN Fuji 任 福継 Consideration about the Effectiveness of the Emotion Dictionary for Extracting Opinions from News Articles 新聞記事の意見抽出のための感情語辞書の有効性に関する考察 Opinions are included a lot of news articles such as editorial articles. This kind of information is important for us. We pay attention to the emotion expressions which could be used to express opinins. Then we do a investigation on the effectiveness of opinion extraction from news articles using emotion words. The articles employed are editorial articles from plural news companies and news on the result of professional baseball games. Opinions are limited among "positive" and "negative" and "neutral". We compared the precision of opinion extraction between the result using emotion word dictionary and the result using a word dictionary which based on counting the frequency of positive and negative words. On the news of professional baseball games the emotional dictionary method got a precision of 71%, but on the editorial articles, the result is only 36%. Which is weaker than the result of the frequencymethod. We also studied the effective part of speech for opinion extraction from news articles. 社説などに代表されるように新聞記事には意見を含むものが多く存在し,その情報の重要性も高い.我々は意見を記述するのに利用される感情表現に着目し,新聞記事の意見抽出における感情語の利用の有効性を調査した.検証した新聞記事は新聞数社の社説とプロ野球の試合結果に関する記事である.抽出する意見は今回として肯定・否定・どちらでもないに限定している.肯定・否定記事の単語の出現頻度に基づく単語辞書を用意し,感情語辞書を用いた手法と意見抽出精度を比較した結果,野球記事では感情語辞書のみを用いる意見抽出法において71%の精度が得られた.社説記事では感情語辞書を用いる手法は36%しか得られなかったが出現頻度を用いた手法によりある程度の精度を得る事ができた.新聞記事の意見抽出において有効な品詞についても考察している. The Institute of Electronics, Information and Communication Engineers 一般社団法人電子情報通信学会 IEICE technical report 電子情報通信学会技術研究報告. TL, 思考と言語 0913-5685 107 387 37 42 20071207 rfj0161560/misc/39181706 HISAZUMI Katsutoshi 久積 克年 SUMITOMO Ryosuke 住友 亮翼 TSUCHIYA Seiji 土屋 誠司 REN Fuji 任 福継 Extraction of the term having the explicit relation 明示的な関係にある語彙の抽出 This paper present an extraction method based on terms have the explicit relations. Usually, it is difficule to extract explicit term relations. However, explicit relations can help us in knowledge information systems and text-mining. Therefore, we propose a method that using the following assumption. It relates to the term that appears at the same time in the same sentence. It is a relation corresponding to the term in the sentence including the same term. The proposed technique uses co-occurrence frequency and number of retrieval pages. We did an evaluation experiment. The purposed experiment extract "X" that becomes the relation of "fire-case-X". The effectiveness of the proposed method was verified by the experiment. 本稿では明示的な関係にある語彙の抽出手法について提案する.一般的に語彙関係の抽出には明示的な関係が抽出されていないことが多い.この原因としてアスペクトや利用目的によって関係が変化すること,人的作業が必要である特殊な辞書や学習手法が利用されていることが考えられる.しかし,知識情報システムやテキストマイニングでは利用目的に応じて明示的な関係が抽出される方が望ましい.そこで,明示的な関係の抽出のために同一文内に出現する語彙同士には関係があり,同じ語彙を含む文にはその語彙に対応する関係があるという仮定から明示的な関係にある語彙の抽出を行った.実験では対象語彙を"火事",明示的な関係を表す語彙を"原因"として"火事-原因-X"という明示的な関係にある語彙"X"の抽出を行った.また,抽出対象とするテキストデータは一年分の新聞記事とWebページの2種類とし,新聞記事では共起頻度をWebページでは検索ヒット数を利用した関連度計算を行った.その結果から本手法の有効性を検証し,利点と問題点について考察する. The Institute of Electronics, Information and Communication Engineers 一般社団法人電子情報通信学会 IEICE technical report 電子情報通信学会技術研究報告. TL, 思考と言語 0913-5685 107 387 31 36 20071207 rfj0161560/misc/24951945 Shunji Mitsuyoshi Kouichi Shibasaki Yasuto Tanaka Makoto Kato Tsutomu Murata Tetsuto Minami Haruko Yagura Fuji Ren Emotion voice analysis system connected to the human brain IEEE NLP-KE 2007 - Proceedings of International Conference on Natural Language Processing and Knowledge Engineering 476 484 20071201 10.1109/NLPKE.2007.4368074 2-s2.0-47749138874 rfj0161560/misc/23932137 Xin Luo Masami Shishibori Fuji Ren Kenji Kita Incorporate feature space transformation to content-based image retrieval with relevance feedback INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL 1349-4198 3 5 1237 1250 20071000 rfj0161560/misc/23932135 Mohamed Abdel Fattah David B. Bracewell Fuji Ren Shingo Kuroiwa Sentence alignment using P-NNT and GMM COMPUTER SPEECH AND LANGUAGE 0885-2308 21 4 594 608 20071000 10.1016/j.csl.2007.01.002 rfj0161560/misc/27917366 平井孝則 土屋誠司 住友翼亮 黒岩眞吾 REN Fuji 突発性雑音に頑健な音声認識の為の繰り返し発声を用いた音声強調法 電気関係学会四国支部連合大会講演論文集(CD-ROM) 2007 ROMBUNNO.12-4 null 20070915 rfj0161560/misc/27917364 山田大地 土屋誠司 住友亮翼 黒岩眞吾 REN F N‐gramを用いた顔文字の表情分類手法 電気関係学会四国支部連合大会講演論文集(CD-ROM) 2007 ROMBUNNO.15-36 null 20070915 rfj0161560/misc/27917362 袴田愛 土屋誠司 住友亮翼 黒岩眞吾 REN F 心的状態遷移ネットワークに基づく表情生成手法 電気関係学会四国支部連合大会講演論文集(CD-ROM) 2007 ROMBUNNO.16-42 null 20070915 rfj0161560/misc/27917360 井澤健 土屋誠司 住友亮翼 黒岩眞吾 REN F 音声対話情報案内システムにおける質問文検索手法について 電気関係学会四国支部連合大会講演論文集(CD-ROM) 2007 ROMBUNNO.15-33 null 20070915 rfj0161560/misc/27917358 佐野貴彦 土屋誠司 住友亮翼 黒岩眞吾 REN F 感情情報を用いた日本語慣用句教授学習システムの研究 電気関係学会四国支部連合大会講演論文集(CD-ROM) 2007 ROMBUNNO.1-7 null 20070915 rfj0161560/misc/27917356 渋谷隼人 土屋誠司 住友亮翼 黒岩眞吾 REN F ユーザの嗜好に着目したWEBサイト構築支援について 電気関係学会四国支部連合大会講演論文集(CD-ROM) 2007 ROMBUNNO.15-3 null 20070915 rfj0161560/misc/27917354 YUAN L 土屋誠司 住友亮翼 黒岩真吾 REN F 能力評価に基づく日本語学習システムについて 電気関係学会四国支部連合大会講演論文集(CD-ROM) 2007 ROMBUNNO.16-16 null 20070915 rfj0161560/misc/27917352 山本麻由 土屋誠司 住友亮翼 黒岩眞吾 REN F 感情タグつきコーパスの構築についての一考察 電気関係学会四国支部連合大会講演論文集(CD-ROM) 2007 ROMBUNNO.16-43 null 20070915 rfj0161560/misc/27917350 喜多雅彦 柘植覚 土屋誠司 住友亮翼 黒岩眞吾 REN F 多数話者内での順位情報を用いた話者照合 電気関係学会四国支部連合大会講演論文集(CD-ROM) 2007 ROMBUNNO.15-35 null 20070915 rfj0161560/misc/27917348 小西優輔 土屋誠司 住友亮翼 黒岩眞吾 REN F 日本語学習者のための日本語慣用句学習支援システムの構築 電気関係学会四国支部連合大会講演論文集(CD-ROM) 2007 ROMBUNNO.15-41 null 20070915 rfj0161560/misc/27917345 松本和幸 土屋誠司 住友亮翼 黒岩眞吾 REN F 感情表現主体判定に基づく話者感情推定 電気関係学会四国支部連合大会講演論文集(CD-ROM) 2007 ROMBUNNO.15-38 null 20070915 rfj0161560/misc/27917343 川島宏文 土屋誠司 住友亮翼 黒岩眞吾 REN F 対話型案内コンテンツを用いた学習の有効性評価 電気関係学会四国支部連合大会講演論文集(CD-ROM) 2007 ROMBUNNO.13-1 null 20070915 rfj0161560/misc/27917341 久積克年 土屋誠司 住友亮翼 黒岩眞吾 REN F 視点を考慮した明示的な関係の抽出について 電気関係学会四国支部連合大会講演論文集(CD-ROM) 2007 ROMBUNNO.15-31 null 20070915 rfj0161560/misc/27917339 大林克行 柘植覚 土屋誠司 住友亮翼 黒岩眞吾 REN F 音素毎の話者識別性能の調査 電気関係学会四国支部連合大会講演論文集(CD-ROM) 2007 ROMBUNNO.15-34 null 20070915 rfj0161560/misc/27917337 佐藤達也 土屋誠司 住友亮翼 黒岩眞吾 REN F 知的案内システムにおけるコンテンツ収集について 電気関係学会四国支部連合大会講演論文集(CD-ROM) 2007 ROMBUNNO.15-32 null 20070915 rfj0161560/misc/27917335 三品賢一 土屋誠司 住友亮翼 黒岩眞吾 REN F 感情辞書を用いた感情類似度計算手法 電気関係学会四国支部連合大会講演論文集(CD-ROM) 2007 ROMBUNNO.15-37 null 20070915 rfj0161560/misc/27917333 湯浅隆運 土屋誠司 住友亮翼 黒岩眞吾 REN F 感情推定における発話者と聞き手の感情相違の利用についての一考察 電気関係学会四国支部連合大会講演論文集(CD-ROM) 2007 ROMBUNNO.15-40 null 20070915 rfj0161560/misc/27917331 源祐輔 土屋誠司 住友亮翼 黒岩眞吾 REN F 人物特質性と顔表情の関連性について 電気関係学会四国支部連合大会講演論文集(CD-ROM) 2007 ROMBUNNO.13-5 null 20070915 rfj0161560/misc/27917329 足立征士 土屋誠司 住友亮翼 黒岩眞吾 REN F 単語表記と音声から生起される感情の違いについての考察 電気関係学会四国支部連合大会講演論文集(CD-ROM) 2007 ROMBUNNO.15-39 null 20070915 rfj0161560/misc/27917327 高橋新之介 土屋誠司 住友亮翼 黒岩眞吾 REN F 感情認識のための顔表情DBの構築について 電気関係学会四国支部連合大会講演論文集(CD-ROM) 2007 ROMBUNNO.13-3 null 20070915 rfj0161560/misc/27917325 LIU Y 土屋誠司 住友亮翼 黒岩眞吾 REN F 構文解析に基づく類似度計算 電気関係学会四国支部連合大会講演論文集(CD-ROM) 2007 ROMBUNNO.16-41 null 20070915 rfj0161560/misc/27917323 竹内公紀 土屋誠司 住友亮翼 黒岩眞吾 REN F デザインの評価に特化した特徴量抽出法の検討 電気関係学会四国支部連合大会講演論文集(CD-ROM) 2007 ROMBUNNO.16-23 null 20070915 rfj0161560/misc/27917321 那琳 土屋誠司 住友亮翼 黒岩眞吾 REN F 局部特徴に基づく顔器官の抽出 電気関係学会四国支部連合大会講演論文集(CD-ROM) 2007 ROMBUNNO.13-4 null 20070915 rfj0161560/misc/39173256 TENG Zhi Zhi TENG LIU Ye Ye LIU REN Fuji Fuji REN KUROIWA Shingo Shingo KUROIWA Search Computing Based on Google API for QA System Search computing based on Google API for QA system (自然言語処理) Search computing has been widely used in the field of natural language processing. In recent years, the QA System has been successfully applied to a number of applications, but the limited amounts and the incertitude of answer were much in evidence. The wealth of information on the web makes it an attractive and simple resource for seeking quick information. Recently being quite successful in providing keyword based access to web pages, commercial search portals still lack the ability to answer questions expressed in a natural language of Chinese. In this paper we propose a new method based on the GoogleWEB API for the QA System in restricted domains. The experiment showed that this method can get the more accurate result. Search computing has been widely used in the field of natural language processing. In recent years the QA System has been successfully applied to a number of applications but the limited amounts and the incertitude of answer were much in evidence. The wealth of information on the web makes it an attractive and simple resource for seeking quick information. Recently being quite successful in providing keyword based access to web pages commercial search portals still lack the ability to answer questions expressed in a natural language of Chinese. In this paper we propose a new method based on the Google WEB API for the QA System in restricted domains. The experiment showed that this method can get the more accurate result.Search computing has been widely used in the field of natural language processing. In recent years, the QA System has been successfully applied to a number of applications, but the limited amounts and the incertitude of answer were much in evidence. The wealth of information on the web makes it an attractive and simple resource for seeking quick information. Recently being quite successful in providing keyword based access to web pages, commercial search portals still lack the ability to answer questions expressed in a natural language of Chinese. In this paper we propose a new method based on the Google WEB API for the QA System in restricted domains. The experiment showed that this method can get the more accurate result. Information Processing Society of Japan (IPSJ) 一般社団法人情報処理学会 IPSJ SIG Notes 情報処理学会研究報告自然言語処理(NL) 0919-6072 2007 76 91 96 20070725 rfj0161560/misc/26867201 SASAYAMA Manabu 篠山 学 TSUCHIYA Seiji 土屋 誠司 KUROIWA Shingo 黒岩 眞吾 REN Fuji 任福継 Extracting Date/Time Expressions in Super-Function based Japanese-English Machine Translation Super-Function を用いた日英機械翻訳における日付・時間表現の抽出 Super-Function Based Machine Translation(SFBMT) which is a type of Example-Based Machine Translation has a feature which makes it possible to expand the coverage of examples by changing nouns into variables, however, there were problems extracting entire date/time expressions containing parts-of-speech other than nouns, because only nouns/numbers were changed into variables. We describe a method for extracting date/time expressions for SFBMT. SFBMT uses noun determination rules to extract nouns and a bilingual dictionary to obtain correspondence of the extracted nouns between the source and the target languages. In this method, we add a rule to extract date/time expressions and then extract date/time expressions from a Japanese-English bilingual corpus. The evaluation results shows that the precision of this method for Japanese sentences is 96.7%, with a recall of 98.2% and the precision for English sentences is 94.7%, with a recall of 92.7%. 用例に基づく機械翻訳の一つである Super-Function (SF) に基づく機械翻訳は，名詞を変数化することで用例の適用範囲を広げられるという特長を持つが，名詞以外の表現を含む日付・時間表現では，日付・時間表現全体をひとつの名詞として抽出することができず，その数字部分しか変数化できないという問題があった．この問題を解決するため，本稿では，日付・時間表現を抽出する手法を提案する．SF に基づく機械翻訳では名詞を抽出するために名詞判定規則を用いている．また抽出した各名詞の言語間の対応を得るために単語辞書を用いている．本手法ではまず名詞判定規則に日付・時間表現を抽出する規則を追加し日付・時間表現を抽出した．次に抽出した日付・時間表現を日英に共通な形に変換することで日付・時間表現の対応を得た．作成した規則を用いて評価実験を行ったところ日本文で適合率 96.7%，再現率 98.2%，英文で適合率 94.7%，再現率 92.7%を得られた．Super-Function Based Machine Translation(SFBMT) which is a type of Example-Based Machine Translation has a feature which makes it possible to expand the coverage of examples by changing nouns into variables, however, there were problems extracting entire date/time expressions containing parts-of-speech other than nouns, because only nouns/numbers were changed into variables. We describe a method for extracting date/time expressions for SFBMT. SFBMT uses noun determination rules to extract nouns and a bilingual dictionary to obtain correspondence of the extracted nouns between the source and the target languages. In this method, we add a rule to extract date/time expressions and then extract date/time expressions from a Japanese-English bilingual corpus. The evaluation results shows that the precision of this method for Japanese sentences is 96.7%, with a recall of 98.2% and the precision for English sentences is 94.7%, with a recall of 92.7%. 一般社団法人情報処理学会 IPSJ SIG Notes 情報処理学会研究報告自然言語処理(NL) 0919-6072 2007 76 163 168 20070725 rfj0161560/misc/26867207 KAWASHIMA Hirofumi 川島 宏文 TSUCHIYA Seiji 土屋 誠司 KUROIWA Shingo 黒岩 眞吾 REN Fuji 任福継 Construction of interactive guide contents in practical conversation system 実用会話システムにおける対話型案内コンテンツの構築 Current sightseeing guide contents on web provide information in one direction. We made an interactive guide contents to answer user&#039;s question by using a CAIWA system. The contents show tourist spots in Tokushima by introducing their feature or historical background with video pictures. Users can ask questions by inputting text or speech anytime during a video and can obtain answers by video pictures and audio commentary. As a result, we achieved flexible question and answer communication between the users and the system. これまでの web における観光案内コンテンツは一方向的に情報発信を行っている．そこで我々は，CAIWA システムを用い，ユーザの質問に回答できる対話型案内コンテンツを作成した．コンテンツとして徳島の観光名所を取り上げ，特徴や歴史等を案内することができる．ユーザは観光案内動画を閲覧中に疑問や質問などをテキストまたは音声で入力することで動画像と音声によってその回答を得ることが出来る．これにより，ユーザとの柔軟な質問応答のやりとりを実現した．Current sightseeing guide contents on web provide information in one direction. We made an interactive guide contents to answer user&#039;s question by using a CAIWA system. The contents show tourist spots in Tokushima by introducing their feature or historical background with video pictures. Users can ask questions by inputting text or speech anytime during a video and can obtain answers by video pictures and audio commentary. As a result, we achieved flexible question and answer communication between the users and the system. 一般社団法人情報処理学会 IPSJ SIG Notes 情報処理学会研究報告自然言語処理(NL) 0919-6072 2007 76 1 5 20070724 rfj0161560/misc/26867205 YAMAMOTO Mayu 山本 麻由 TSUCHIYA Seiji 土屋 誠司 KUROIWA Shingo 黒岩 眞吾 REN Fuji 任福継 Emotion Classification for Emotion Corpus Construction 感情コーパス構築のための文中の語に基く感情分類手法 In this paper, we aim to develop Emotion corpus automatically using Naive Bayes Classifier. Emotion corpus is language data with emotion tags. Language data is the corpus which made by the sentences that we collected from web. Emotion tag stands for emotion of the people who wrote the sentences at the time. At first, we put emotion tags on the language data we collected. Next, we classify the language data using the Naive Bayes Classifier based on this data set, and I confirm the effectiveness of the method. 感情に関わる研究において，言語データに発話者の感情を表すタグ(感情タグ)を付与した感情コーパスの構築が望まれている．しかし，人手で作成するには多くのコストを要する．そこで本稿では，感情コーパス作成の自動化を目指し，文中の語に基づいたナイーブベイズによる感情分類手法を提案する．Web から収集した学習データを用いた評価実験により提案手法の有効性を確認する．In this paper, we aim to develop Emotion corpus automatically using Naive Bayes Classifier. Emotion corpus is language data with emotion tags. Language data is the corpus which made by the sentences that we collected from web. Emotion tag stands for emotion of the people who wrote the sentences at the time. At first, we put emotion tags on the language data we collected. Next, we classify the language data using the Naive Bayes Classifier based on this data set, and I confirm the effectiveness of the method. 一般社団法人情報処理学会 IPSJ SIG Notes 情報処理学会研究報告自然言語処理(NL) 0919-6072 2007 76 31 35 20070724 rfj0161560/misc/26867203 MISHINA Kenichi 三品 賢一 TSUCHIYA Seiji 土屋 誠司 KUROIWA Shingo 黒岩 眞吾 REN Fuji 任福継 An Emotion Similarity Calculation Using N-gram Frequency N-gram 出現頻度を用いた感情類似度計算 Existing methods to estimate emotions of a sentence can estimate a few kinds of emotion, and many methods use a dictionary that emotion weights is related every words. Our aim is to propose a method which can estimate with high precision using feeling expression (modality et al.) and can add new estimatable emotion easily, we gave emotion weights to N-gram to use feeling expression. To propose such method, we proposed an emotion similarity calculation. This method calculates similarity between represented emotions from two sentences. In the emotion similarity calculation, we use similarity between an input sentence and classified sentence by emotions. Classified sentences are in emotion corpora. The calculation formula is based on BLEU. BLEU is machine translation evaluation method. In this paper, we propose a new emotion similarity calculation method. This method can estimate with high precision compared to the past one. This method uses N-gram frequency dictionaries made from each emotion corpora. To examine the precision of the method, we evaluated ratio that emotions of highest emotion similarities corresponds emotions of the input. Emotions of the input was decided by human. As the results, the ratio was improved 20.59. 従来，文が表現する感情を推定する手法では，推定できる感情の種類がわずかであったり，一つ一つの単語ごとに感情別の重みを付与した辞書を構築し，推定に利用するものが多かった．そこで我々は，推定できる感情の種類を容易に増やすことができ，また感情別の重みの付与を単語 N-gram で行うことで文が指す内容に対する話し手の判断や心的態度を表すモダリティなどの感情表現も利用する，従来手法よりも高い精度で推定可能な感情推定手法の提案を目指している．このような推定手法を実現するため，我々は2つの文が表現している感情がどれほど類似しているかを計算する感情類似度計算手法を過去に提案した．感情類似度は，あらかじめ用意した，文を感情別に分類した複数のコーパス(感情コーパス)を用い，機械翻訳システムの翻訳精度を求める尺度である BLEU を基に，入力文と感情別に分類された文との類似度を計算することで求める．本稿で我々は，従来の BLEU を用いる感情推定よりも高い精度で推定を行うために，感情コーパス別に単語 N-gram の出現頻度を求めた辞書を従来手法に導入した新たな手法を提案する．提案手法の性能を調べるため，入力文から感情類似度を求め，最も感情類似度が高くなった感情と，人手で判断した入力文の感情の一致率を求める実験を行った．その結果，従来の BLEU による類似度計算を用いた手法に比べ，提案手法では 20.59%一致率が向上した．Existing methods to estimate emotions of a sentence can estimate a few kinds of emotion, and many methods use a dictionary that emotion weights is related every words. Our aim is to propose a method which can estimate with high precision using feeling expression (modality et al.) and can add new estimatable emotion easily. we gave emotion weights to N-gram to use feeling expression. To propose such method, we proposed an emotion similarity calculation. This method calculates similarity between represented emotions from two sentences. In the emotion similarity calculation, we use similarity between an input sentence and classified sentence by emotions. Classified sentences are in emotion corpora. The calculation formula is based on BLEU. BLEU is machine translation evaluation method. In this paper, we propose a new emotion similarity calculation method. This method can estimate with high precision compared to the past one. This method uses N-gram frequency dictionaries made from each emotion corpora. To examine the precision of the method, we evaluated ratio that emotions of highest emotion similarities corresponds emotions of the input. Emotions of the input was decided by human. As the results, the ratio was improved 20.59. 一般社団法人情報処理学会 IPSJ SIG Notes 情報処理学会研究報告自然言語処理(NL) 0919-6072 2007 76 37 42 20070724 rfj0161560/misc/39175069 TENG Zhi Teng Zhi LIU Ye Liu Ye REN Fuji Ren Fuji KUROIWA Shingo Search Computing Based on Google API for QA System Search computing based on Google API for QA system (言語理解とコミュニケーション) Search computing has been widely used in the field of natural language processing. In recent years, the QA System has been successfully applied to a number of applications, but the limited amounts and the incertitude of answer weremuch in evidence. The wealth of information on the web makes it an attractive and simple resource for seeking quick information. Recently being quite successful in providing keyword based access to web pages, commercial search portals still lack the ability to answer questions expressed in a natural language of Chinese. In this paper we propose a new method based on the Google WEB API for the QA System in restricted domains. The experiment showed that this method can get the more accurate result. The Institute of Electronics, Information and Communication Engineers 一般社団法人電子情報通信学会 IEICE technical report 電子情報通信学会技術研究報告. NLC, 言語理解とコミュニケーション 0913-5685 107 158 91 96 20070717 rfj0161560/misc/26867212 KAWASHIMA Hirofumi 川島 宏文 TSUCHIYA Seiji 土屋 誠司 KUROIWA Shingo 黒岩 眞吾 REN Fuji 任 福継 Construction of interactive guide contents in practical conversation system 実用会話システムにおける対話型案内コンテンツの構築 Current sightseeing guide contents on web provide information in one direction. We made an interactive guide contents to answer user&#039;s question by using a CAIWA system. The contents show tourist spots in Tokushima by introducing their feature or historical background with video pictures. Users can ask questions by inputting text or speech anytime during a video and can obtain answers by video pictures and audio commentary. As a result, we achieved flexible question and answer communication between the users and the system. これまでのwebにおける観光案内コンテンツは一方向的に情報発信を行っている.そこで我々は,CAIWAシステムを用い,ユーザの質問に回答できる対話型案内コンテンツを作成した.コンテンツとして徳島の観光名所を取り上げ,特徴や歴史等を案内することができる.ユーザは観光案内動画を閲覧中に疑問や質問などをテキストまたは音声で入力することで動画像と音声によってその回答を得ることが出来る.これにより,ユーザとの柔軟な質問応答のやりとりを実現した. 一般社団法人電子情報通信学会 IEICE technical report 電子情報通信学会技術研究報告. NLC, 言語理解とコミュニケーション 0913-5685 107 158 1 6 20070717 rfj0161560/misc/26867211 YAMAMOTO Mayu 山本 麻由 TSUCHIYA Seiji 土屋 誠司 KUROIWA Shingo 黒岩 眞吾 REN Fuji 任 福継 Emotion Classification for Emotion Corpus Construction 感情コーパス構築のための文中の語に基く感情分類手法 In this paper, we aim to develop Emotion corpus automatically using Naive Bayes Classifier. Emotion corpus is language data with emotion tags. Language data is the corpus which made by the sentences that we collected from web. Emotion tag stands for emotion of the people who wrote the sentences at the time. At first, we put emotion tags on the language data we collected. Next,we classify the language data using the Naive Bayes Classifier based on this data set, and I confirm the effectiveness of the method. 感情に関わる研究において,言語データに発話者の感情を表すタグ(感情タグ)を付与した感情コーパスの構築が望まれている.しかし,人手で作成するには多くのコストを要する.そこで本稿では,感情コーパス作成の自動化を目指し,文中の語に基づいたナイーブベイズによる感情分類手法を提案する.Webから収集した学習データを用いた評価実験により提案手法の有効性を確認する. 一般社団法人電子情報通信学会 IEICE technical report 電子情報通信学会技術研究報告. NLC, 言語理解とコミュニケーション 0913-5685 107 158 31 35 20070717 rfj0161560/misc/26867210 MISHINA Kenichi 三品 賢一 TSUCHIYA Seiji 土屋 誠司 KUROIWA Shingo 黒岩 眞吾 REN Fuji 任 福継 An Emotion Similarity Calculation Using N-gram Frequency N-gram 出現頻度を用いた感情類似度計算 Existing methods to estimate emotions of a sentence can estimate a few kinds of emotion, and many methods use a dictionary that emotion weights is related every words. Our aim is to propose a method which can estimate with high precision using feeling expression (modality et al.) and can add new estimatable emotion easily, we gave emotion weights to N-gram to use feeling expression. To propose such method, we proposed an emotion similarity calculation. This method calculates similarity between represented emotions from two sentences. In the emotion similarity calculation, we use similarity between an input sentence and classified sentence by emotions. Classified sentences are in emotion corpora. The calculation formula is based on BLEU. BLEU is machine translation evaluation method. In this paper, we propose a new emotion similarity calculation method. This method can estimate with high precision compared to the past one. This method uses N-gram frequency dictionaries made from each emotion corpora. To examine the precision of the method, we evaluated ratio that emotions of highest emotion similarities corresponds emotions of the input. Emotions of the input was decided by human. As the results, the ratio was improved 20.59. 従来,文が表現する感情を推定する手法では,推定できる感情の種類がわずかであったり,一つ一つの単語ごとに感情別の重みを付与した辞書を構築し,推定に利用するものが多かった.そこで我々は,推定できる感情の種類を容易に増やすことができ,また感情別の重みの付与を単語N-gramで行うことで文が指す内容に対する話し手の判断や心的態度を表すモダリティなどの感情表現も利用する,従来手法よりも高い精度で推定可能な感情推定手法の提案を目指している.このような推定手法を実現するため,我々は2つの文が表現している感情がどれほど類似しているかを計算する感情類似度計算手法を過去に提案した.感情類似度は,あらかじめ用意した,文を感情別に分類した複数のコーパス(感情コーパス)を用い,機械翻訳システムの翻訳精度を求める尺度であるBLEUか基に,入力文と感情別に分類された文との類似度を計算することで求める.本稿で我々は,従来のBLEUを用いる感情推定よりも高い精度で推定を行うために,感情コーパス別に単語N-gramの出現頻度を求めた辞書を従来手法に導入した新たな手法を提案する.提案手法の性能を調べるため,入力文から感情類似度を求め,最も感情類似度が高ぐなった感情と,人手で判断した入力文の感情の一致率を求める実験を行った.その結果,従来のBLEUによる類似度計算を用いた手法に比べ,提案手法では20.59%一致率が向上した. 一般社団法人電子情報通信学会 IEICE technical report 電子情報通信学会技術研究報告. NLC, 言語理解とコミュニケーション 0913-5685 107 158 37 42 20070717 rfj0161560/misc/26867209 SASAYAMA Manabu 篠山 学 TSUCHIYA Seiji 土屋 誠司 KUROIWA Shingo 黒岩 眞吾 REN Fuji 任 福継 Extracting Date/Time Expressions in Super-Function based Japanese-English Machine Translation Super-Function を用いた日英機械翻訳における日付・時間表現の抽出 Super-Function Based Machine Translation(SFBMT) which is a type of Example-Based Machine Translation has a feature which makes it possible to expand the coverage of examples by changing nouns into variables, however, there were problems extracting entire date/time expressions containing parts-of-speech other than nouns, because only nouns/numbers were changed into variables. We describe a method for extracting date/time expressions for SFBMT. SFBMT uses noun determination rules to extract nouns and a bilingual dictionary to obtain correspondence of the extracted nouns between the source and the target languages. In this method, we add a rule to extract date/time expressions and then extract date/time expressions from a Japanese-English bilingual corpus. The evaluation results shows that the precision of this method for Japanese sentences is 96.7%, with a recall of 98.2% and the precision for English sentences is 94.7%, with a recall of 92.7%. 用例に基づく機械翻訳の一つであるSuper-Function(SF)に基づく機械翻訳は,名詞を変数化することで用例の適用範囲を広げられるという特長を持つが,名詞以外の表現を含む日付・時間表現では,日付・時間表現全体をひとつの名詞として抽出することができず,その数字部分しか変数化できないという問題があった.この問題を解決するため,本稿では,日付・時間表現を抽出する手法を提案する.SFに基づく機械翻訳では名詞を抽出するために名詞判定規則を用いている.また抽出した各名詞の言語間の対応を得るために単語辞書を用いている.本手法ではまず名詞判定規則に日付・時間表現を抽出する規則を追加し日付・時間表現を抽出した.次に抽出した日付・時間表現を日英に共通な形に変換することで日付・時間表現の対応を得た.作成した規則を用いて評価実験を行ったところ日本文で適合率96.7%,再現率98.2%,英文で適合率94.7%,再現率92.7%を得られた. 一般社団法人電子情報通信学会 IEICE technical report 電子情報通信学会技術研究報告. NLC, 言語理解とコミュニケーション 0913-5685 107 158 163 168 20070717 rfj0161560/misc/23932134 Jiajun Yan David B. Bracewell Shingo Kuroiwa Fuji Ren Chinese semantic dependency analysis: Construction of a treebank and its use in classification ACM Transactions on Speech and Language Processing 1550-4875 4 2 null null 20070501 10.1145/1233912.1233914 2-s2.0-34249307264 rfj0161560/misc/52350018 柘植覚 黒岩眞吾 喜多雅彦 蒔苗久則 長内隆 鎌田敏明 谷本益巳 福見稔 REN Fuji 日本語大規模話者認識用データベースを用いた話者識別実験 日本音響学会研究発表会講演論文集(CD-ROM) 1880-7658 2007 null null 20070000 rfj0161560/misc/23932136 Zhi Teng Fuji Ren Shingo Kuroiwa An emotion recognition conversation system based on knowledge database automatic architecture ADVANCED INTELLIGENT COMPUTING THEORIES AND APPLICATIONS 1865-0929 2 722 + 20070000 rfj0161560/misc/23932133 MATSUMOTO KAZUYUKI 松本 和幸 MISHINA KENICHI 三品 賢一 REN FUJI 任 福継 KUROIWA SHINGO 黒岩 眞吾 Emotion Estimation Algorithm based on Emotion Occurrence Sentence Pattern 感情生起事象文型パターンに基づいた会話文からの感情推定手法 言語処理学会 Journal of natural language processing 自然言語処理 1340-7619 14 3 239 271 20070000 10.5715/jnlp.14.3_239 rfj0161560/misc/23932132 Hua Xiang Peilin Jiang Shuang Xiao Fuji Ren Shingo Kuroiwa A model of mental state transition network Institute of Electrical Engineers of Japan IEEJ Transactions on Electronics, Information and Systems 1348-8155 127 3 434 442 20070000 10.1541/ieejeiss.127.434 2-s2.0-33947154005 rfj0161560/misc/23932131 柘植 覚 黒岩 眞吾 獅々堀 正幹 任 福継 北 研二 分散音声認識における実時間周波数特性正規化手法 情報処理学会論文誌 48 2 900 908 20070000 rfj0161560/misc/23932130 BRACEWELL DB Bracewell B. David Fuji Ren Shingo Kuroiwa Mining news sites to create special domain news collections Mining News Sites to Create Special Domain News Collections International Journal OF Computational Intelligence International Journal of Computational Intelligence 4 4 56 63 20070000 rfj0161560/misc/23932129 KUROIWA Shingo 黒岩 眞吾 MORI Youji 森 陽司 TAKASHINA Masashi 高階 政吏 TSUGE Satoru 柘植 覚 REN Fuji 任 福継 Wind Noise Reduction Method Using the Observed Spectrum Fine Structure and Estimated Spectrum Envelope スペクトルの微細構造を考慮した風雑音除去手法 本論文では,パワーやスペクトル形状の変化の大きい風雑音を高精度で推定する手法を提案する.提案手法は,複数の参照用風雑音スペクトル包絡を用いフレームごとに風雑音のスペクトル包絡を推定するとともに,当該フレームから得られる観測信号の微細構造を用い風雑音スペクトルを推定し雑音除去を行う.提案手法の評価を行うため,扇風機により発生させた風雑音を用いたシミュレーション実験を実施した.客観評価実験としてセグメンタルSNR (SNRseg)による評価を行った結果,提案手法はスペクトルサブトラクション(SS)法よりも大幅なSNRSegの改善を達成した.また,CMOSによる主観評価実験を行った結果,客観評価と同様にSS法と比較して大幅な改善を達成し,提案手法の有効性が示された.また実験に用いたデータを調べた結果,提案手法を用いれば,推定スペクトルと実際の雑音スペクトル間のミスマッチを低減することができ,ミュージカルノイズと呼ばれる人工的な雑音の抑制にも有効であることが分かった. The Institute of Electronics, Information and Communication Engineers 一般社団法人電子情報通信学会 The IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences (Japanese edition) A 電子情報通信学会論文誌(A) 0913-5707 90 1 1 12 20070000 rfj0161560/misc/23932089 Shingo Kuroiwa Satoru Tsuge Masahiko Kita Fuji Ren Speaker Identification Method Using Earth Mover's Distance for CCC Speaker Recognition Evaluation International Jounal of Computational Linguistics & Chinese Language Processing 12 3 239 254 20070000 rfj0161560/misc/23932127 Mohamed Abdel Fattah Fuji Ren Shingo Kuroiwa Sentence alignment using feed forward neural network INTERNATIONAL JOURNAL OF NEURAL SYSTEMS 0129-0657 16 6 423 434 20061200 10.1142/S0129065706000822 17285688 rfj0161560/misc/23932106 Shunji Mitsuyoshi Fuji Ren Yasuto Tanaka Shingo Kuroiwa Non-verbal voice emotion analysis system INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL 1349-4198 2 4 819 830 20060800 rfj0161560/misc/38626851 REN Fuji 任福継 Recognizing Human Emotion based on appearance information and Mental State Transition Network 言語・表情など外観情報と心的状態遷移に基づく人間感情の認知について Many people still seem to have strong resistance toward interacting with machines in many business fields such as terminal devices and medical care systems. We focus on human psychological characteristics to develop general-purpose agents that can recognize human emotion and create machine emotion. We comprehensively analyze brain waves, voice sounds and picture images that represent information included in emotion elements of phonation, facial expressions, and speech usage. We analyze and estimate many statistical data based on the latest achievements of brain science and psychology in order to derive transition networks for human psychological states. We establish a speaker word model for researching computer simulation of psychological change and emotional presentation, developing emotion interface, and establishing theoretic structure and realization method of emotion communication. In the talk, a new approach for recognizing human emotion based on appearance information and Mental State Transition Network will be described and some new results for the project will be given. 感情計算と知能技術は感性と理性の対立から高いレベルでの統一体になっていると認識しているが，従来の音声・言語などの外観情報だけのモデルでは，人間の感情をモデル化し伝えることは到底不可能である．我々は人間の心的な特性に着目し，話者の感情測定モデル及びコンピュータの感情シミュレーションモデル，即ち，人間感情の認知及び機械感情の創生ができる，汎用的なエージェントを開発している．この講演では言語・表情・音などの外観情報と我々の提案した心的状態遷移ネットワークに基づく人間感情の認知について述べる．さらに，発表では本稿で記述しきれなかった最新成果・アプリケーション実例も紹介する．Many people still seem to have strong resistance toward interacting with machines in many business fields such as terminal devices and medical care systems. We focus on human psychological characteristics to develop general-purpose agents that can recognize human emotion and create machine emotion. We comprehensively analyze brain waves, voice sounds and picture images that represent information included in emotion elements of phonation, facial expressions，and speech usage. We analyze and estimate many statistical data based on the latest achievements of brain science and psychology in order to derive transition networks for human psychological states. We establish a speaker word model for researching computer simulation of psychological change and emotional presentation，developing emotion interface，and establishing theoretic structure and realization method of emotion communication. In the talk，a new approach for recognizing human emotion based on appearance information and Mental State Transition Network will be described and some new results for the project will be given． Information Processing Society of Japan (IPSJ) 一般社団法人情報処理学会 IPSJ SIG Notes 情報処理学会研究報告音声言語情報処理(SLP) 0919-6072 2006 73 43 48 20060707 rfj0161560/misc/23932099 MA Fattah FJ Ren S Kuroiwa Stemming to improve translation lexicon creation form bitexts INFORMATION PROCESSING & MANAGEMENT 1873-5371 42 4 1003 1016 20060700 10.1016/j.ipm.2005.07.002 rfj0161560/misc/25878016 大坂 京子 谷岡 哲也 川西 千恵美 多田 敏子 任 福継 小林 春男 人の感情変化と脳波活動電位量の変化との関連 日本看護福祉学会 日本看護福祉学会誌 1344-4875 12 1 50 51 20060600 rfj0161560/misc/23932104 Zhong Zhang Hiroshi Toda Hisanaga Fujiwara Fuji Ren Translation invariant RI-Spline wavelet and its application on de-noising INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING 0219-6220 5 2 353 378 20060600 10.1142/S0219622006001976 rfj0161560/misc/23932101 HQ Hu PL Jiang FJ Ren S Kuroiwa A new Question Answering system for Chinese restricted domain IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS 0916-8532 E89D 6 1848 1859 20060600 10.1093/irtisy/e89-d.6.1848 rfj0161560/misc/23932095 MA Fattah F Ren S Kuroiwa Effects of phoneme type and frequency on distributed speaker identification and verification IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS 0916-8532 E89D 5 1712 1719 20060500 10.1093/ietisy/e89-d.5.1712 rfj0161560/misc/38645269 KUROIWA Shingo UMEDA Yoshiyuki TSUGE Satoru REN Fuji Nonparametric Speaker Recognition Method Using Earth Mover's Distance In this paper, we propose a distributed speaker recognition method using a nonparametric speaker model and Earth Mover's Distance (EMD). In distributed speaker recognition, the quantized feature vectors are sent to a server. The Gaussian mixture model (GMM), the traditional method used for speaker recognition, is trained using the maximum likelihood approach. However, it is difficult to fit continuous density functions to quantized data. To overcome this problem, the proposed method represents each speaker model with a speaker-dependent VQ code histogram designed by registered feature vectors and directly calculates the distance between the histograms of speaker models and testing quantized feature vectors. To measure the distance between each speaker model and testing data, we use EMD which can calculate the distance between histograms with different bins. We conducted text-independent speaker identification experiments using the proposed method. Compared to results using the traditional GMM, the proposed method yielded relative error reductions of 32% for quantized data. The Institute of Electronics, Information and Communication Engineers 一般社団法人電子情報通信学会 IEICE Trans. on Information and Systems, D IEICE transactions on information and systems 0916-8532 89 3 1074 1081 20060301 rfj0161560/misc/23932091 S Kuroiwa Y Umeda S Tsuge F Ren Nonparametric speaker recognition method using Earth Mover's Distance IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS 1745-1361 E89D 3 1074 1081 20060300 10.1093/ietisy/e89-d.3.1074 rfj0161560/misc/41620197 Dapeng Yin Min Shao Peilin Jiang Fuji Ren Shingo Kuroiwa Treatment of quantifiers in Chinese-Japanese machine translation Treatment of Quantifiers in Chinese-Japanese Machine Translation (共著) COMPUTATIONAL INTELLIGENCE, PT 2, PROCEEDINGS Proceedings of International Conference on Intelligent Computing 2006 0302-9743 4114 930 935 20060000 rfj0161560/misc/23932128 Extracting Chinese Idiomatic Expressions from Texts to Author Reading Support Systems for Learning Chinese as Second Language The Journal of Information and Systems in Education 5 1 17 28 20060000 rfj0161560/misc/23932126 Dealing with Acronyms in Biomedical Texts Engineering Letters 13 2 216 224 20060000 rfj0161560/misc/23932125 Fuji Ren Chinese Text Segmentation System Using Sensitive Word Concept Journal of Asian Information-Science-Life 2 3 267 282 20060000 rfj0161560/misc/23932124 Fuji Ren Hongchi Shi An Experimental parallel machine translation system Journal of Asian Information-Science-Life 2 3 223 242 20060000 rfj0161560/misc/23932123 Shingo Kuroiwa Satoru Tsuge Masahiko Kita Fuji Ren Evaluation of EMD-based speaker recognition using ISCSLP2006 Chinese speaker recognition evaluation corpus CHINESE SPOKEN LANGUAGE PROCESSING, PROCEEDINGS 0302-9743 4274 539 + 20060000 10.1007/11939993_56 rfj0161560/misc/23932122 Kazuyuki Matsumoto Ren Fuji Shingo Kuroiwa Emotion estimation system based on emotion occurrence sentence pattern COMPUTATIONAL INTELLIGENCE, PT 2, PROCEEDINGS 0302-9743 4114 902 911 20060000 rfj0161560/misc/23932121 Dapeng Yin Min Shao Peilin Jiang Fuji Ren Shingo Kuroiwa Treatment of Quantifiers in Chinese-Japanese Machine Translation Computational Intelligence, Lecture Notes in Computer Sciences 930 935 20060000 rfj0161560/misc/23932120 David B. Bracewell Junko Minato Fuji Ren Shingo Kuroiwa Determining the emotion of news articles COMPUTATIONAL INTELLIGENCE, PT 2, PROCEEDINGS 0302-9743 4114 918 923 20060000 rfj0161560/misc/23932119 Jiajun Yan David B. Bracewell Fuji Ren Shingo Kuroiwa A semantic analyzer for aiding emotion recognition in Chinese COMPUTATIONAL INTELLIGENCE, PT 2, PROCEEDINGS 0302-9743 4114 893 901 20060000 rfj0161560/misc/23932118 Junko Minato David B. Bracewell Fuji Ren Shingo Kuroiwa Statistical analysis of a Japanese emotion corpus for natural language processing COMPUTATIONAL INTELLIGENCE, PT 2, PROCEEDINGS 0302-9743 4114 924 929 20060000 rfj0161560/misc/23932117 Zhi Teng Fuji Ren Shingo Kuroiwa Recognition of Emotion with SVMs Computational Intelligence, Lecture Notes in Computer Sciences 701 710 20060000 rfj0161560/misc/23932116 Mohamed Abdel Fattah Fuji Ren Shingo Kuroiwa Text-based English-Arabic sentence alignment COMPUTATIONAL INTELLIGENCE, PT 2, PROCEEDINGS 0302-9743 4114 748 753 20060000 rfj0161560/misc/23932115 Y.X. Zhong Fuji Ren Mechanism Approach that Unifies AI, and AI with AE WSEAS Transactions on COMPUTERS 10 5 2204 2211 20060000 rfj0161560/misc/23932114 Liying Mi Xin Luo Fuji Ren Shingo Kuroiwa A Rule and Super Function-based Machine Translation System for Chinese-Japanese Causative Sentences WSEAS Transactions on COMPUTERS 9 5 2122 2129 20060000 rfj0161560/misc/23932113 Yu Zhang Fuji Ren Shingo Kuroiwa The Validity of Metaphor in Emotion Recognizing Model WSEAS Transactions on COMPUTERS 9 5 2049 2055 20060000 rfj0161560/misc/23932112 Dapeng Yin Min Shao Peilin Jiang Fuji Ren Shingo Kuroiwa Rule-based Translation of Quantifiers for Chinese-Japanese Machine Translation WSEAS Transactions on COMPUTERS 9 5 2031 2036 20060000 rfj0161560/misc/23932111 Zhi Teng Fuji Ren Shingo Kuroiwa The Emotion Recognition through classification with the Support Vector Machines WSEAS Transactions on COMPUTERS 9 5 2008 2013 20060000 rfj0161560/misc/23932110 Jiajun Yan David B. Bracewell Fuji Ren Shingo Kuroiwa An Integrated System for Semantic Analysis of Chinese WSEAS Transactions on COMPUTERS 9 5 1886 1891 20060000 rfj0161560/misc/23932109 David B. Bracewell Fuji Ren Shingo Kuroiwa Building Frames of Knowledge for Causal Agents in WordNet WSEAS Transactions on COMPUTERS 9 5 1880 1885 20060000 rfj0161560/misc/23932108 Shuang Xiao Hua Xiang Fuji Ren Shingo Kuroiwa A CIE Extraction Syatem for CSL Learners International Journal of Computer Science and Network Security 6 7 152 161 20060000 rfj0161560/misc/23932107 Lin Ya Ya Lin Tanioka Tetsuya Tetsuya Tanioka Tanihira Kokichi Kokichi Tanihira Ren Fuji Fuji Ren Tada Toshiko Toshiko Tada Howard Katsuyo Katsuyo Howard Kobayashi Haruo Haruo Kobayashi An Interactive E-learning System for Practicing Team Care by Interdisciplinary Collaboration In recent years, remote education systems using telecommunication tools such as television and the internet have been developed and applied not only in open universities and preparatory schools, but also in areas where educational resources are scarce. However, these systems do not make immediate responses to questions from the learners in real time. In addition, an interactive education system connecting the computer system and the learners who need to practice team care by interdisciplinary collaboration has yet to be developed. That is the reason why we present ""interactive e-learning system for practicing team care by interdisciplinary collaboration"" and explore the possibility of introducing such a system into practice. As regards future considerations, it is important to develop effective learning content for this system. This content promotes and reinforces the essential attitude and skills for practicing interdisciplinary team care. Determination of the effectiveness of its application depends on whether the learners can practice interdisciplinary team care virtually and apply their learning to real situations. Kawasaki journal of medical welfare Kawasaki Journal of Medical Welfare 1341-5077 12 1 37 44 20060000 10.15112/00005068 rfj0161560/misc/23932105 Hua Xiang Shuang Xiao Fuji Ren Shingo Kuroiwa A Mind Model for an Affecitive Computer International Journal of Computer Science and Network Security 6 6 62 69 20060000 rfj0161560/misc/23932103 Yu Zhang Zhuoming Li Fuji Ren Shingo Kuroiwa A Preliminary Research of Chinese Emotion Classification Model Research on Computing Science 19 95 106 20060000 rfj0161560/misc/23932102 Shuang Xiao Hua Xiang Fuji Ren Shingo Kuroiwa The Recognition system of CCE for CSL Learners Research on Computing Science 19 49 61 20060000 rfj0161560/misc/23932100 Xin Zhao Fuji Ren Shingo Kuroiwa Translation of Japanese noun compounds at super-function based MT system Institute of Electrical Engineers of Japan IEEJ Transactions on Electronics, Information and Systems 1348-8155 126 5 645 653 20060000 10.1541/ieejeiss.126.645 2-s2.0-33646378884 rfj0161560/misc/23932098 Shingo Kuroiwa Satoru Tsuge Koji Tanaka Kazuma Hara Fuji Ren Acoustic Model Adaptation for Codec Speech based on Learning-by-Doing Concept Research in Computing Science 18 105 114 20060000 rfj0161560/misc/23932097 Satoru Tsuge Masami Shishibori Fuji Ren Kenji Kita Shingo Kuroiwa Specific Speaker's Japanese Speech Corpus over Long and Short Time Periods Research in Computing Science 18 1 115 124 20060000 rfj0161560/misc/23932096 Mohamed Abdel Fattah Fuji Ren Kuroiwa Shingo Speaker Recognition for Wire/Wireless Communication Systems The International Arab Journal of Information Technology 3 1 28 34 20060000 rfj0161560/misc/23932094 MA Fattah F Ren S Kuroiwa Probabilistic neural network based English-Arabic sentence alignment COMPUTATIONAL LINGUISTICS AND INTELLIGENT TEXT PROCESSING 0302-9743 3878 97 100 20060000 10.1007/11671299_11 rfj0161560/misc/23932093 HQ Hu FJ Ren S Kuroiwa SW Zhang A question answering system on special domain and the implementation of speech interface COMPUTATIONAL LINGUISTICS AND INTELLIGENT TEXT PROCESSING 0302-9743 3878 458 469 20060000 rfj0161560/misc/23932092 Mohamed Abdel Fattah Fuji Ren Kuroiwa Shingo Satoru Tsuge Ippei Fukuda Phoneme Based Speaker Modeling to Improve Speaker Recognition System INFORMATION 9 1 135 147 20060000 rfj0161560/misc/23932090 黒岩 眞吾 小林 邦嘉 柘植 覚 任 福継 音声認識•音声合成を用いた音声途切れ補間手法 日本音響学会誌 62 1 3 11 20060000 10.20697/jasj.62.1_3 rfj0161560/misc/26867221 MATSUMOTO Kazuyuki 松本 和幸 BRACEWELL David B David B.Bracewell REN Fuji 任 福継 KUROIWA Shingo 黒岩 眞吾 Development of an emotion corpus creation support system 感情コーパス作成支援システムの開発 Abstract-In recent years, computer automation have developed in various types of industries, making research about processing human sensibility more active. Emotion recognition and expression technologies are needed to create anthropomorphic agents and sensibility robots that behave like humans. The &quot;ifbot&quot; is an example of a sensibility robot which expresses emotions and recognizes emotions. However, language corpora for emotion recognition are small because emotion recognition is still in the primitive stage of research. We need to construct emotion corpora manually in order to progress the research efficiently, but there doesn&#039;t exist a unified format or methods for constructing such emotion corpora. We are developing a support system for constructing a large emotion corpus. In this paper, we propose a system which supports making a natural language corpus of tagged emotion information and discribe the outline of the system development. 近年の情報処理技術の発達に伴い，情報処理の分野ではあまり取り扱われることの無かった人間の感性をコンピュータで処理する研究が盛んになってきている．擬人化エージェントや感性ロボットが人のように振舞うためには，人間の感性を認識し，自らの感情を表出することが必要である．感情を認識し，表出する感性ロボットには，ifbotなどがある．我々は，感性ロボットに応用するための感情認識技術について研究している．しかし，感情認識の研究は始まったばかりであり，感情認識のために利用できる言語コーパスが少ない．また，そのようなコーパスは人手により作成する必要があるが，感情情報の付与手法やデータのフォーマットなどが統一されておらず，コーパスの構築を行い研究を進めるための環境としては不十分だと考えられる．我々は，感性情報処理の研究のための言語コーパスの作成を支援するシステムの開発を行っている．本稿では感情コーパス作成支援システムの開発概要について述べる．In recent years, computer automation have developed in various types of industries, making research about processing human sensibility more active. Emotion recognition and expression technologies are needed to create anthropomorphic agents and sensibility robots that behave like humans. The &quot;ifbot&quot; is an example of a sensibility robot which expresses emotions and recognizes emotions. However, language corpora for emotion recognition are small because emotion recognition is still in the primitive stage of research. We need to construct emotion corpora manually in order to progress the research efficiently, but there doesn&#039;t exist a unified format or methods for constructing such emotion corpora. We are developing a support system for constructing a large emotion corpus. In this paper, we propose a system which supports making a natural language corpus of tagged emotion information and describe the outline of the system development. 一般社団法人情報処理学会 IPSJ SIG Notes 情報処理学会研究報告自然言語処理(NL) 0919-6072 2005 117 91 96 20051122 rfj0161560/misc/26867220 BRACEWELL David B デービット・ブレスウェル REN Fuji 任 福継 KUROIWA Shingo 黒岩 眞吾 Keyword Extraction from a Single Document for Information Retrieval 情報検索のために単一ドキュメントからキーワード抽出 Keywords are a fundamental part of information retrieval. Keywords are used for everything from searching to describing a document. Typically, algorithms for keyword extraction require a document collection in order to extract keywords. Extracting keywords without a document collection is gaining importance. Research has been done to deal with the problem. However, there are two problems 1) the quality of the keywords was not based on how well they perform in IR tasks and 2) they were designed for only one language. This paper proposes a new algorithm that is applicable to multiple languages and extracts effective keywords. 情報検索の基本要素となるキーワードは，ドキュメントの探索から記述にわたってあらゆることに使われている．典型的に，キーワード抽出のアルゴリズムでは，キーワード抽出するため，ドキュメントの収集が必要とされる．ドキュメント収集なしのキーワード抽出は重要性を獲得することである．この問題に関しては既に研究されている．しかし，二つの難題が残されている．一つは，キーワードの質は情報検索作業でどれほど機能するかという点に基づいていないのである．もう一つは，キーワードは一つの言語に特定されているのである．本稿では，多言語に適用でき，しかも，有効的にキーワードを抽出できる新しいアルゴリズムを提案した．Keywords are a fundamental part of information retrieval. Keywords are used for everything from searching to describing a document. Typically, algorithms for keyword extraction require a document collection in order to extract keywords. Extracting keywords without a document collection is gaining importance. Research has been done to deal with the problem. However, there are two problems 1) the quality of the keywords was not based on how well they perform in IR tasks and 2) they were designed for only one language. This paper proposes a new algorithm that is applicable to multiple languages and extracts effective keywords. 一般社団法人情報処理学会 IPSJ SIG Notes 情報処理学会研究報告自然言語処理(NL) 0919-6072 2005 117 121 126 20051122 rfj0161560/misc/26867219 SHAO Min 邵 敏 YIN Dapeng 尹大鵬 REN Fuji 任福継 KUROIWA Shingo 黒岩眞吾 Rule-based translation of quantifiers for Chinese-Japanese machine translation 対訳例文から中日数量表現の翻訳規則の獲得について Quantifiers and numerals often give rise to trouble in Chinese-Japanese machine translation. In this paper, an approach is proposed based on the syntactic features after classification. First, morphological analysis is performed on the sentences extracted from a Chinese-Japanese aligned corpus, which consists of quantifiers and numerals. Next, statistical information is obtained based on the word meaning of the noun that has an accompanying quantifier. Using the difference in quantifier type and position between Chinese and Japanese, quantifier translation rules were acquired. The translation and experiment system is made up of 2 modules. One is to check the quantifier translation and the other is to select the correct translation rule. The evaluation experiment was conducted using the acquired translation rules. Finally, the adaptability of the experimental data is verified and the validity of the proposed method is proven. 中日機械翻訳における数量詞の処理は常に誤りを引き起こす．本研究では それらの文法特徴に基づき量詞を分類して処理する方法を提案する．まず 中日対訳コーパスから収集した数量詞の例文を形態素解析して 得られた量詞の種類と数量詞に修飾される名詞の語義特徴を統計して 異なる数量詞と出現する位置の異なりなどにより 機械翻訳における数量詞の翻訳規則を獲得した．翻訳実験システムは2つのモジュールによって構成され 一つはこの数量詞が翻訳するがどうかを確認し．もう一つは この数量詞が翻訳する場合 翻訳形式を選定するのである．得られた翻訳規則を利用して中日数量詞の機械翻訳の評価実験を行った．最後に 実験データの適応性を検証し 提案した方法の有効性を論証した．Quantifiers and numerals often give rise to trouble in Chinese-Japanese machine translation. In this paper, an approach is proposed based on the syntactic features after classification. First, morphological analysis is performed on the sentences extracted from a Chinese-Japanese aligned corpus, which consists of quantifiers and numerals. Next, statistical information is obtained based on the word meaning of the noun that has an accompanying quantifier. Using the difference in quantifier type and position between Chinese and Japanese, quantifier translation rules were acquired. The translation and experiment system is made up of 2 modules. One is to check the quantifier translation and the other is to select the correct translation rule. The evaluation experiment was conducted using the acquired translation rules. Finally, the adaptability of the experimental data is verified and the validity of the proposed method is proven. 一般社団法人情報処理学会 IPSJ SIG Notes 情報処理学会研究報告自然言語処理(NL) 0919-6072 2005 117 165 170 20051122 rfj0161560/misc/26867218 MI Liying 米 麗英 REN Fuji 任 福継 KUROIWA Shingo 黒岩 眞吾 Translation Rule of the Causative Sentence in Machine Translation System 機械翻訳における使役表現の翻訳規則について In Japanese, a causative sentence is expressed as X GA Y NI V SASERU. And Causative sentences in Chinese are expressed as X JIAO V Y, X RANG V Y or X SHI V Y. Chinese Causatives JAIO RANG and SHI are used together with a verb to express SASERU in Japanese. A big obstacle in Chinese-Japanese Machine Translation, is caused by if the causative expression &quot;causative + verb&quot; in Chinese not being recognized. In this research, rules of translating causative expressions in Chinese-Japanese machine translation are proposed by extracting causative expressions and related information from a large amount of examples taken from books and websites and by analyzing and evaluating the features of causative expressions. 日本語の使役表現のX(使役者)がY(被使役者)に/をVさせるにおいて，「させる」が動詞の未然形に下接する．中国語の使役表現はX(使役者)「叫」「?」「使」Y(被使役者)Vのような形で表され，使役詞「叫」「?」「使」と動詞がセットになって「させる」という意味になる．機械翻訳において，中国語の使役表現が「使役詞+動詞」で表現されるのを正しく認識できなければ，日本語に訳す時に大きな障害になる．本論では，教科書及びホームページから大量の実例文を選出し，使役表現および関連情報を抽出し，その情報を分析し，使役表現の特徴などの検討によって，中日機械翻訳における使役表現の翻訳規則を提案する．In Japanese, a causative sentence is expressed as X GA Y NI VSASERU. And Causative sentences in Chinese are expressed as XJIAOVY, XRANGVY or XSHIVY.Chinese Causatives JAIO RANG and SHI are used together with a verb to express SASERU in Japanese. A big obstacle in Chinese-Japanese Machine Translation, is caused by if the causative expression &quot;causative + verb&quot; in Chinese not being recognized. In this research, rules of translating causative expressions in Chinese-Japanese machine translation are proposed by extracting causative expressions and related information from a large amount of examples taken from books and websites and by analyzing and evaluating the features of causative expressions. 一般社団法人情報処理学会 IPSJ SIG Notes 情報処理学会研究報告自然言語処理(NL) 0919-6072 2005 117 171 176 20051122 rfj0161560/misc/26867217 SASAYAMA Manabu 篠山 学 KUROIWA Shingo 黒岩 眞吾 REN Fuji 任 福継 Web Realization of Machine Translation Engine Using Super-Function Super-Functionによる機械翻訳エンジンのWeb実現について Super-Function based machine translation is a corpus-based translation method. This method uses Super-Function (SF) to translate without thorough syntactic and semantic analysis as most MT systems do. Therefore translation speed is very fast and translation results are very fluent, because SF is created from a bilingual corpus. In this research, the translation system was built using web tecnologies in order to have as many users as possible evaluate SF based machine translation. In this paper, we describe the structure of the built translation system and consider the problems which became clear in the process of construction of the system. Furthermore, we propose methods for solving these problems. SFに基づく機械翻訳はコーパスベースの翻訳手法であり，構文解析や意味解析を必要としない．そのため処理が高速であるという特徴がある．またSFはコーパスから作成されるため訳文が非常に自然である．本研究では，SFを用いた機械翻訳システムをできるだけ多くのユーザに評価してもらうために，翻訳システムをWeb上に構築した．本稿では，構築した翻訳システムの構成について述べると共に，構築の段階で明らかとなった問題について考察する．さらに問題点を解決するための方法について提案する．Super-Function based machine translation is a corpus-based translation method. This method uses Super-Function (SF) to translate without thorough syntactic and semantic analysis as most MT systems do. Therefore translation speed is very fast and translation results are very fluent, because SF is created from a bilingual corpus. In this research, the translation system was built using web technologies in order to have as many users as possible evaluate SF based machine translation. In this paper, we describe the structure of the built translation system and consider the problems which became clear in the process of construction of the system. Furthermore, we propose methods for solving these problems. 一般社団法人情報処理学会 IPSJ SIG Notes 情報処理学会研究報告自然言語処理(NL) 0919-6072 2005 117 177 182 20051122 rfj0161560/misc/26867223 YAN Jiajun 顔加軍 BRACEWELL David B デービッド・ブレスウェル REN Fuji 任福継 KUROIWA Shingo 黒岩眞吾 Automatically Determining Semantic Structure in Chinese Sentences 機械学習を用いた中国語意味的依存構造の推定 After parsing it is difficult to determine the semantic structure of sentences for Chinese sentences. In this paper, we attempt to automatically annotate the Penn Chinese Treebank with semantic dependency structure. Initially a small portion of the Penn Chinese Treebank was manually annotated with headword and semantic dependency relations. Two supervised machine learning algorithms with varying features were then adopted to learn the relations. Finally, a set of preferences rules were created based on features of Chinese to solve some problem patterns that were found in the Penn Chinese Treebank dealing with ambiguous structures. The experimental results show that the algorithms and proposed approach are effective for determining semantic dependency structure automatically. 構文解析後，分の意味構造を決定するのは重要である．本稿では，Penn Chinese Treebank のために意味的な依存構造を自動的に付与する方法を提案する．まず手動で主辞と意味的依存関係を付与しテストデータを作成する．その後，異なるフィチャーのもとで，二つの教師つき機械学習アルゴリズムをデータに適用し，意味関係を推定する．最後に，中国語の特徴に基づき優先規則を作成し，元コーパスの中に問題がある木構造に対して曖昧性解消を行う．評価実験の結果によると，提案したアルゴリズムが中国語の意味的な依存構造を決定するには有効である．After parsing it is difficult to determine the semantic structure of sentences for Chinese sentences. In this paper, we attempt to automatically annotate the Penn Chinese Treebank with semantic dependency structure. Initially a small portion of the Penn Chinese Treebank was manually annotated with headword and semantic dependency relations. Two supervised machine learning algorithms with varying features were then adopted to learn the relations. Finally, a set of preferences rules were created based on features of Chinese to solve some problem patterns that were found in the Penn Chinese Treebank dealing with ambiguous structures. The experimental results show that the algorithms and proposed approach are effective for determining semantic dependency structure automatically. 一般社団法人情報処理学会 IPSJ SIG Notes 情報処理学会研究報告自然言語処理(NL) 0919-6072 2005 117 67 72 20051121 rfj0161560/misc/23932048 片岡 睦子 谷岡 哲也 森口 博基 永峰 勲 高坂 要一郎 任 福継 山本 亜衣 西村 美香 岸本 真由子 中屋 公子 多田 敏子 橋本 文子 松下 恭子 山下 留理子 後藤 新市 急性期治療病棟で用いる統合失調症用のクリニカルパスをベースとしたアウトカム管理者の職務内容の検討 (株)星和書店 こころのりんしょうa・la・carte 0288-0512 24 2 229 244 20050600 rfj0161560/misc/27229951 Shingo Kuroiwa 黒岩 眞吾 Kenji Kita 北 研二 Fuji Ren 任 福継 Satoru Tsuge 柘植 覚 分散型話者照合方式に関する研究 平成14年度?平成16年度科学研究費補助金(基盤研究(B)(2))研究成果報告書 14350204 1 227 20050500 rfj0161560/misc/38783757 米 麗英 任 福継 日中使役表現における対照分析 徳島大学 徳島大学国語国文學 0916-0280 19 94 107 20050331 rfj0161560/misc/26867229 TSUGE Satoru 柘植 覚 UMEDA Yoshiyuki 梅田 良幸 REN Fuji 任 福継 KUROIWA Shingo 黒岩 眞吾 A Study of Distributed Speaker Recognition Method using Vector Quantization and Earth Mover's Distance ベクトル量子化と Earth Mover's Distance を用いた分散型話者認識手法 日本音響学会研究発表会講演論文集 1340-3168 2005 1 17 18 20050308 rfj0161560/misc/26867227 TSUGE Satoru 柘植 覚 SHISHIBORI Masami 獅々堀 正幹 KITA Kenji 北 研二 REN Fuji 任 福継 KUROIWA Shingo 黒岩 眞吾 A study of the utterance variation on the long and short period in a speaker 長・短期間における音声の話者内変動に関する検討 日本音響学会研究発表会講演論文集 1340-3168 2005 1 129 130 20050308 rfj0161560/misc/26867226 MORI Youji 森 陽司 KUROIWA Shingo 黒岩 眞吾 TSUGE Satoru 柘植 覚 REN Fuji 任 福継 Wind noise reduction method using the observed spectrum fine structure and estimated spectrum envelope スペクトルの微細構造を考慮した風雑音除去手法 日本音響学会研究発表会講演論文集 1340-3168 2005 1 545 546 20050308 rfj0161560/misc/27579579 PL Jiang HQ Hu FJ Ren S Kuroiwa Improved semantic similarity computation in question-answering system Improved Semantic Similarity Computation in Question-Answering System (共著) Proceedings of the Ninth IASTED International Conference on Artificial Intelligence and Soft Computing 2005 1 429 433 20050000 rfj0161560/misc/27579578 HQ Hu PL Jiang FJ Ren S Kuroiwa Web-based question answering system for restricted domain based of integrating method using semantic information Web-based Question Answering System for Restricted Domain Based of Integrating Method Using Semantic Information (共著) Proceedings of the 2005 IEEE International Conference on Natural Language Processing and Knowledge Engineering (IEEE NLP-KE'05) Proceedings of 2005 IEEE International Conference on Natural Language Processing and Knowledge Engineering (IEEE NLP-KE'05) 529 534 20050000 10.1109/NLPKE.2005.1598794 rfj0161560/misc/27579577 H Xiang PL Jiang SA Xiao F Ren Kuroiwa An emotion information processing model based on a mental state transition network An Emotion Information Processing Model based on a Mental State Transition Network (共著) Proceedings of the 2005 IEEE International Conference on Natural Language Processing and Knowledge Engineering (IEEE NLP-KE'05) Proceedings of 2005 IEEE International Conference on Natural Language Processing and Knowledge Engineering (IEEE NLP-KE'05) 668 673 20050000 10.1109/NLPKE.2005.1598820 rfj0161560/misc/27579576 FJ Ren N Nagano DB Bracewell S Kuroiwa T Tanioka Z Zhang CQ Zong Facial feature based expression recognition for an affective interface Facial Feature based Expression Recognition for an Affective Interface (共著) Proceedings of the Ninth IASTED International Conference on Artificial Intelligence and Soft Computing 2005 1 423 428 20050000 rfj0161560/misc/27579574 S Tsuge M Shishibori F Ren K Kita S Kuroiwa Data collection for investigating speech variability in a specific speaker over long and short time periods Data Collection for Investigating Speech Variability in a Specific Speaker Over Long and Short Time Periods (共著) PROCEEDINGS OF THE 2005 IEEE INTERNATIONAL CONFERENCE ON NATURAL LANGUAGE PROCESSING AND KNOWLEDGE ENGINEERING (IEEE NLP-KE'05) Proceedings of 2005 IEEE International Conference on Natural Language Processing and Knowledge Engineering (IEEE NLP-KE'05) 152 157 20050000 10.1109/NLPKE.2005.1598725 rfj0161560/misc/27579573 JJ Yan DB Bracewell F Ren S Kuroiwa Automatically determining semantic relations in Chinese sentences Automatically Determining Semantic Relations in Chinese Sentences (共著) Proceedings of the 2005 IEEE International Conference on Natural Language Processing and Knowledge Engineering (IEEE NLP-KE'05) Proceedings of 2005 IEEE International Conference on Natural Language Processing and Knowledge Engineering (IEEE NLP-KE'05) 262 267 20050000 10.1109/NLPKE.2005.1598745 rfj0161560/misc/27579572 DB Bracewell FJ Ren S Kuriowa Multilingual single document keyword extraction for information retrieval Multilingual Single Document Keyword Extraction for Information Retrieval (共著) Proceedings of the 2005 IEEE International Conference on Natural Language Processing and Knowledge Engineering (IEEE NLP-KE'05) Proceedings of 2005 IEEE International Conference on Natural Language Processing and Knowledge Engineering (IEEE NLP-KE'05) 517 522 20050000 10.1109/NLPKE.2005.1598792 rfj0161560/misc/27579570 SA Xiao H Xiang PL Jiang J Ma F Ren S Kuroiwa Chinese conventional expression reading support system for Japanese Chinese Conventional Expression Reading Support System for Japanese (共著) Proceedings of the 2005 IEEE International Conference on Natural Language Processing and Knowledge Engineering (IEEE NLP-KE'05) Proceedings of 2005 IEEE International Conference on Natural Language Processing and Knowledge Engineering (IEEE NLP-KE'05) 232 237 20050000 10.1109/NLPKE.2005.1598740 rfj0161560/misc/27579569 FJ Ren DB Jian H Xiang S Kuroiwa T Tanioka Z Zhang CQ Zong Mental state transition network and psychological experiments Mental State Transtion Network and Psychological Experiments (共著) Proceedings of the Ninth IASTED International Conference on Artificial Intelligence and Soft Computing Proceedings of the Ninth IASTED International Conference on Artifical Intelligence and Soft Computing 2005 1 439 444 20050000 rfj0161560/misc/27579568 S Kuroiwa S Tsuge F Ren A lost speech reconstruction method using linguistic information A Lost Speech Reconstruction Method using Linguistic Information (共著) Proceedings of the 2005 IEEE International Conference on Natural Language Processing and Knowledge Engineering (IEEE NLP-KE'05) Proceedings of 2005 IEEE International Conference on Natural Language Processing and Knowledge Engineering (IEEE NLP-KE'05) 126 130 20050000 10.1109/NLPKE.2005.1598720 rfj0161560/misc/27579567 Y Zhang ZM Li FJ Ren S Kuroiwa Semi-automatic emotion recognition from textual input based on the constructed emotion thesaurus Semi-automatic Emotion Recognition from Textual Input based on the Constructed Emotion Thesaurus (共著) Proceedings of the 2005 IEEE International Conference on Natural Language Processing and Knowledge Engineering (IEEE NLP-KE'05) Proceedings of 2005 IEEE International Conference on Natural Language Processing and Knowledge Engineering (IEEE NLP-KE'05) 571 576 20050000 10.1109/NLPKE.2005.1598802 rfj0161560/misc/27579566 K Osaka S Chiba T Tanioka C Kawanishi Nagamine, I F Ren S Kuroiwa T Tada R Yamashita M Kishimoto M Nishimura A Yamamoto RC Locsin Y Takasaka Estimating emotion changes using electroencephalographic activities and its clinical application Estimating Emotion Changes Using Electroencephalographic Activities and its Clinical Application (共著) Proceedings of the 2005 IEEE International Conference on Natural Language Processing and Knowledge Engineering (IEEE NLP-KE'05) Proceedings of 2005 IEEE International Conference on Natural Language Processing and Knowledge Engineering (IEEE NLP-KE'05) 830 834 20050000 10.1109/NLPKE.2005.1598851 rfj0161560/misc/26867230 黒岩 眞吾 柘植 覚 任 福継 A Novel Packet Loss Concealment Algorithm based on Satistical Methods 統計的手法を用いた音声信号の復元手法の改良 In recent years, IP telephone use has spread rapidly thanks to the development of VoIP (Voice overIP) technology. However, an unavoidable problem of the IP telephone is deterioration of speech due to packetloss, which often occurs on the wireless network. To overcome this problem, we propose a novel packet loss concealmentalgorithm using speech recognition and synthesis. This proposed method uses linguistic informationand can deal with the lack of syllable units which conventional methods are unable to handle. We conductedsubjective and objective evaluation experiments. These results showed the effectiveness of the proposed method.Although there is a processing delay in the proposed method, we believe that this method will open up newapplications for speech recognition and speech synthesis technology. 徳島大学 Bulletin of Faculty of Engineering the University of Tokushima 徳島大学工学部研究報告 0371-5949 50 null null 20050000 rfj0161560/misc/23932056 Adaptive Threshold Parameters for Bilingual Dictionary Extraction from the Internet Archive International Journal of Information 8 No.1, pp.165-176 null null 20050000 rfj0161560/misc/23932055 Automatic Extraction of Important Sentences using Statistical Information and Structural Features International Journal of Information Technology and Decision Making 4, No.1, pp.141-152 null null 20050000 rfj0161560/misc/23932054 人間感情の認知と機械感情の創生ができる感情インターフェース 情報誌 8, No.1, pp.7-20 null null 20050000 rfj0161560/misc/23932053 XJ Wang FJ Ren Chinese-Japanese clause alignment COMPUTATIONAL LINGUISTICS AND INTELLIGENT TEXT PROCESSING 0302-9743 3406 400 412 20050000 rfj0161560/misc/23932052 Chinese Automatic Question Answering System for Sightseeing Tpurists International Journai of Information 8, No.1, pp.177-186 null null 20050000 rfj0161560/misc/23932051 Super-Function based Ubiquitous Chinese Vocabulary Learning International Journal of Information 8, No.4, pp.547-556 null null 20050000 rfj0161560/misc/23932050 Haiqing Hu Fuji Ren Shingo Kuroiwa Chinese Automatic Question Answering System of Specific-domain Based on Vector Space Model ベクトル空間モデルに基づく特定領域向け中国語質問応答システムの構築 IEEJ Transactions on Electronics, Information and Systems 電子学会論文誌 1348-8155 125 5 698 706 20050000 10.1541/ieejeiss.125.698 2-s2.0-33745467737 rfj0161560/misc/23932049 Automatic Translation of Compound Nouns in the Japanese-Chinese Machine Translation System SFBMT International Journal of Information 8 No.3, pp.405-413 null null 20050000 rfj0161560/misc/23932047 MITSUYOSHI Shunji 光吉 俊二 REN Fuji 任 福継 Emotion Recognition 人間の感情を測定する This article has no abstract. 本記事に「抄録」はありません． The Institute of Electrical Engineers of Japan IEEJ Transactions on Sensors and Micromachines 電気学会誌 1340-5551 125, No. 10, pp.641-644 10 641 644 20050000 10.1541/ieejjournal.125.641 rfj0161560/misc/23932046 A Memory and Search Hybrid Genetic Algorithm for non-Stationary Environments with Repetitive Natures Journal "Research on Computing Science" 14, No.1, pp.35-46 null null 20050000 rfj0161560/misc/23932045 Kuroiwa Shingo 黒岩 眞吾 Tsuge Satoru 柘植 覚 Shishibori Masami 獅々堀 正幹 Fuji Ren 任 福継 Kita Kenji 北 研二 Dimensionality Reduction of Vector Space Model for Information Retrieval using Simple Principal Component Analysis Simple PCAを用いたベクトル空間情報検索モデルの次元削減 In this paper, we propose to use the Simple Principal Component Analysis (SPCA) for dimensionality reduction of the vector space information retrieval model. The SPCA algorithm is a data-oriented fast method which does not require the computation of the variance-covariance matrix. In SPCA, principal components are estimated iteratively so we also propose a criteria to determine the convergence. The optimum number of iterations for each principal component can be determined using the criteria. Experimentally, we show that the SPCA-based method offers improvement over the conventional SVD-based method despite its small amount of computation. This advantage of SPCA can be attributed to its iterative procedure which is similar to clustering methods such as <i>k</i>-means clustering. On the other hand, the proposed method which orthogonalizes the basis vectors also achieved much higher accuracy than the conventional random projection method based on <i>k</i>-means clustering. The Institute of Electrical Engineers of Japan 一般社団法人 電気学会 IEEJ Transactions on Electronics, Information and Systems 電気学会論文誌C 0385-4221 125, No.11, 1773-1779 11 1773 1779 20050000 10.1541/ieejeiss.125.1773 rfj0161560/misc/23932044 PL Jiang H Xiang F Ren S Kuroiwa An advanced mental state transition network and psychological experiments EMBEDDED AND UBIQUITOUS COMPUTING - EUC 2005 0302-9743 3824 1026 1035 20050000 rfj0161560/misc/38776541 UMEDA Yoshiyuki Yoshiyuki UMEDA TSUGE Satoru Satoru TSUGE FUJI Ren Fuji REN KUROIWA Shingo Shingo KUROIWA Speaker Recognition using a Non - parametric Speaker Model Representation and Earth Mover's Distance In this paper, we propose a distributed speaker recognition method using a non-parametric speaker model and Earth Mover's Distance (EMD). In distributed speaker recognition, the quantized feature vectors are sent to a server. The Gaussian mixture model (GMM), the traditional method used for speaker recognition, is trained using the maximum likelihood approach. However, it is difficult to fit continuous density functions to quantized data. To overcome this problem, the proposed method represents each speaker model with a speaker-dependent VQ code histogram designed by registered feature vectors and directly calculates the distance between the histograms of speaker models and testing quantized feature vectors. To measure the distance between each speaker model and testing data, we use EMD which can calculate the distance between histograms with different bins. We conducted text-independent speaker identification experiments using the proposed method. Compared to results using the traditional GMM, the proposed method yielded relative error reductions of 32% for quantized data. In this paper we propose a distributed speaker recognition method using a non-parametric speaker model and Earth Movers' Distance (EMD). In distributed speaker recognition the quantized feature vectors are sent to a server. The Gaussian mixture model (GMM) the traditional method used for speaker recognition is trained using the maximum likehood approach. However it is difficult to fit continuous density functions to quantized data. To overcome this problem the proposed method represents each speaker model with a speaker-dependent VQ code histogram designed by registered feature vectores and directly calculated the distance between the histograms of speaker models and testing quantized feature vectores. To measure the distance between each speaker model and testing data we use EMD which can calculate the distance between histograms with different bins. We conducted text-independent speaker identification experiments using the proposed method. Compared to results using the traditional GMM the proposed method yielded relative error reductions of 32% for quantized data.In this paper, we propose a distributed speaker recognition method using a non-parametric speaker model and Earth Movers' Distance (EMD). In distributed speaker recognition, the quantized feature vectors are sent to a server. The Gaussian mixture model (GMM), the traditional method used for speaker recognition, is trained using the maximum likehood approach. However, it is difficult to fit continuous density functions to quantized data. To overcome this problem, the proposed method represents each speaker model with a speaker-dependent VQ code histogram designed by registered feature vectores and directly calculated the distance between the histograms of speaker models and testing quantized feature vectores. To measure the distance between each speaker model and testing data, we use EMD which can calculate the distance between histograms with different bins. We conducted text-independent speaker identification experiments using the proposed method. Compared to results using the traditional GMM, the proposed method yielded relative error reductions of 32% for quantized data. Information Processing Society of Japan (IPSJ) 一般社団法人情報処理学会 IPSJ SIG Notes 情報処理学会研究報告音声言語情報処理(SLP) 0919-6072 2004 131 85 90 20041220 rfj0161560/misc/37907178 UMEDA Yoshiyuki Umeda Yoshiyuki TSUGE Satoru Tsuge Satoru REN Fuji Ren Fuji KUROIWA Shingo Speaker Recognition using a Non-parametric Speaker Model Representation and Earth Mover's Distance In this paper, we propose a distributed speaker recognition method using a non-parametric speaker model and Earth Mover's Distance (EMD). In distributed speaker recognition, the quantized feature vectors are sent to a server. The Gaussian mixture model (GMM), the traditional method used for speaker recognition, is trained using the maximum likelihood approach. However, it is difficult to fit continuous density functions to quantized data. To overcome this problem, the proposed method represents each speaker model with a speaker-dependent VQ code histogram designed by registered feature vectors and directly calculates the distance between the histograms of speaker models and testing quantized feature vectors. To measure the distance between each speaker model and testing data, we use EMD which can calculate the distance between histograms with different bins. We conducted text-independent speaker identification experiments using the proposed method. Compared to results using the traditional GMM, the proposed method yielded relative error reductions of 32% for quantized data. The Institute of Electronics, Information and Communication Engineers 一般社団法人電子情報通信学会 IEICE technical report. Natural language understanding and models of communication 電子情報通信学会技術研究報告. NLC, 言語理解とコミュニケーション 0913-5685 104 538 85 90 20041220 rfj0161560/misc/26867233 MORI Yoji 森 陽司 TSUGE Satoru 柘植 覚 REN Fuji 任 福継 KUROIWA Shingo 黒岩 眞吾 Wind Noise Reduction Method Using Multiple Noise Models 複数雑音モデルを用いた風雑音除去手法 Recently, the video cammeras are widely spread, it makes more opportunity to record video tape in the field. But the wind noise strongly degrades the recorded sound quality in the field. Windshield is a traditional technique that was used to reduce the wind noise effect. But windshield technique is not effective in a strong wind situations. So, in this paper , we focus on the wind noise reduction method besed on signal processing technique. Spectral Subtraction has been known as a useful noise reduction method. Under the stationary noise environment, the spectal subtraction is effective. However, under the non-stationary noise environment, it is difficult to estimate the noise component from the observed signal , so the spectal subtraction is not so effective in this case. Hence, we propose a new method by using multiple noise models to estimte the wind noise which is non-stationary noise and substract noise component by using the spectal subtraction. We held the evaluation experiment to examine the effectivity of proposal method. 近年,携帯型撮影機器が広く普及し,野外撮影の機会が増加している.しかし,屋外撮影においては風雑音の影響を受け音質の劣化を招くという問題がある.現在,風雑音対策として風防が用いられているが,その雑音抑制能力は十分とは言えず,強風下において音質の劣化が生じてしまう.そこで,本稿では信号処理による風雑音除去手法に注目した.従来,信号処理による雑音除去手法として,スぺクトルサブトラクション(SS:Spectral Subtraction)法が有効な手法として知られている.SS法は定常性雑音環境に対しては,有効な手法であるが,非定常雑音環境下では雑音の推定が困難であるため,風雑音に対して十分な効果を得るのが難しい.そこで,本稿では複数の雑音モデルを用いて風雑音のスぺクトルおよびゲインを推定し,SS法を用いて雑音除去を行う手法を提案する.提案手法の有効性を評価するため,主観評価及び客観評価を行なった. 一般社団法人電子情報通信学会 IEICE technical report. Speech 電子情報通信学会技術研究報告. SP, 音声 0913-5685 104 252 31 36 20040812 rfj0161560/misc/26867128 UMEDA Yoshiyuki 梅田 良幸 FUKUDA Ippei 福田 一平 TSUGE Satoru 柘植 覚 REN Fuji 任 福継 KUROIWA Shingo 黒岩 眞吾 Distributed Speaker Recognition using Earth Mover's Distance Earth Mover's Distance を用いた分散型話者認識 In this paper, we focus on distributed speaker recognition, a technique in which quantized feature parameters are sent to a server, as with distributed speech recognition. The Gaussian mixture model , the traditional method used for speaker recognition, is trained using the maximum likelihood approach. The GMM has output probability functions with continuous density functions. It is difficult to fit continuous density functions to quantized data. To overcome this problem, we propose a novel speaker recognition technique which does not need estimation of statistical parameters. The proposed method directly calculates the distance between a set of quantized feature parameters of registered speech and a set of quantized feature parameters of test speech. To measure distance, we use Earth Mover&#039;s Distance (EMD). The EMD has recently been successfully applied to image retrieval. We conduct text-independent speaker identification experiments using the proposed method. When compared to results using the traditional GMM, the proposed method yielded relative error reductions of 75% (at 16kHz sampling) for quantized data. 本稿では分散型話者認識において, GMMのような統計的モデルを仮定しないノンパラメトリックな話者認識手法を提案する.話者モデルと認識対象データはそれぞれ,話者登録用音声並びに認識対象音声から得られた特徴パラメータを量子化したデータの集合(ノンパラメトリックな分布)で構成される.話者認識時には,各特徴パラメータの集合間の距離を計算し,最も距離の小さい話者モデルを認識話者とする.話者認識時に必要となる距離尺度には,ある2つの分布間において,一方の分布を他方の分布に変換するための最小のコストにより距離を定義するEarth Mover&#039;s Distance を用いる.提案手法の有効性を検証するため,特徴パラメータ抽出にETSI標準DSRフロントエンドを用いて,男性話者21名によるテキスト独立型話者識別実験を行った.実験の結果. GMMを用いた話者識別に比べ識別誤り率を, 8kHzサンプリングにおいて67.7%, 16kHzサンプリングにおいて75.0%削減することができた. The Institute of Electronics, Information and Communication Engineers 一般社団法人電子情報通信学会 IEICE technical report. Speech 電子情報通信学会技術研究報告. SP, 音声 0913-5685 104 252 25 30 20040812 rfj0161560/misc/23932059 Collective Behavior of Distributed Systems in Manufacturing Environments Engineering Mechanics 11, No.4, pp.1-10 null null 20040000 rfj0161560/misc/23932058 An Algorithm for Determining DingYu Structural Particle DE Computational Linguistics and Intelligent Text Processing, Springer 2495, pp.338-349 null null 20040000 rfj0161560/misc/23932057 Zhao, X F Ren S Voss A super-function based Japanese-Chinese machine translation system for business users MACHINE TRANSLATION: FROM REAL USERS TO RESEARCH, PROCEEDINGS 0302-9743 3265 272 281 20040000 rfj0161560/misc/26867239 MATSUMOTO Kazuyuki 松本 和幸 KUROIWA Shingo 黒岩 眞吾 REN Fuji 任 福継 About the emotion measurement system 感情計測システムについて It is necessary to nurse the senior citizen for declining population of children and increasing nuclear family. We are researching and developing a welfare robot which has a sensibility to support the life of the senior citizen and to reduce nursing. One of the basic researches on such welfare robots is to measure the sensibility from conversation sentences, hi this paper, an algorithm for measuring the sensibility is presented, and a prototype system based on the proposed algorithm has been constructed. 近年,少子化や核家族化のため,高齢者が高齢者を介護しなければならない状況が現実のものとなりつつある.我々は高齢者の生活を支援し,介護を軽減させる感性を持つ福祉ロボットの研究開発を行っているが,その基礎となる研究の1つとして,人間の会話文からの感性の計測があげられる.本論文では,感性を持つ福祉ロボット構築のための会話文の感情計測アルゴリズムについて提案し,このアルゴリズムに基づくプロトタイプシステムを構築し,その妥当性を検証する. 一般社団法人電子情報通信学会 IEICE technical report. Natural language understanding and models of communication 電子情報通信学会技術研究報告. NLC, 言語理解とコミュニケーション 0913-5685 103 115 55 60 20030613 rfj0161560/misc/26867238 NAGANO Nobuo 長野 信男 REN Fuji 任 福継 KUROIWA Shingo 黒岩 眞吾 Recognition of Expression which uses Face Feature 顔特徴を用いた表情の認識 To recognize face expression is very important issue in natural language understanding. In this paper, a new method for recognizing face expression, which consists of a preprocessing face expression image process, a detecting face area process, a extracting the characteristic process, and a recognizing the expression process, is presented. The recognized expressions in our research are seven kinds of expressionless, happy, surprise, disgust, fear, sadness and anger. In the method, for improving the system robustness, the characteristic for each face expression is extracted by using FACS, and then they are compared with a face expression dictionary using a minimum distance method. 顔表情の認識は自然言語解析において総合的な意味解釈を行うために重要である.そこで本論文では,顔表情画像を入力とし,前処理,顔検出,特徴点抽出を経て,特徴量から表情の認識を行う.認識対象とする表情は,無表情,幸福,驚き,嫌悪,恐怖,悲しみ,怒りの7種類とする.我々は表情の認識において,一般性と個人性の両方に頑健なシステムにするため,FACSを用いて各表情毎に特徴の検出を行い,また同時に最小距離識別法を用いて顔表情辞書と照合することで総合的に判断する手法を提案する. 一般社団法人電子情報通信学会 IEICE technical report. Natural language understanding and models of communication 電子情報通信学会技術研究報告. NLC, 言語理解とコミュニケーション 0913-5685 103 115 61 66 20030613 rfj0161560/misc/26867237 KONISHI Yusuke 小西 優輔 SHOUDA Tadashi 正田 忠 KUROIWA Shingo 黒岩 眞吾 REN fuji 任 福継 Junior High School Science Education Support System Using Natural Language Processing Techniques 自然言語処理技術を用いた中学理科教授学習システム In this paper, a new method for constructing a junior high school science education support system using natural language processing technique is presented, and the outline of a experimental system based on the proposed method is described. In the system, a input sentence is analyzed and the science problem statements are generated automatically by using Super Function. The system can give more interesting problems and answer so that the student is located in a pleasure learning environment. Moreover, the speech recognition and the voice synthesis are scheduled to be used for the system interface. Some result and some detail construction technique are given also in the paper. 本稿では,自然言語処理技術を利用した中学理科教授学習システムの構築手法を提案し,現在構築中の実験システムの概要を述べる.本システムは,Super Functionを用いて学習者入力文解析,理科問題文自動生成を行なう.従来の教授学習システムでは,予め用意された提示パターンしか出さない場合が多く,また解答方式は選択式のため学習者主体の学習環境とはいえない.本システムでは解答方式は学習者の自由文入力を可能とし,間違った解答に対してはその間違いによる現実世界での現象を提示する.またシステムのインターフェースには音声認識,音声合成を用いる予定である.これにより学習者のタイピング技術に左右されず,キーボードになじめない学習者もシステムを容易に使用することが期待できる.また,本稿ではシステム構築後の評価方法の指針についても言及する. 一般社団法人電子情報通信学会 IEICE technical report. Natural language understanding and models of communication 電子情報通信学会技術研究報告. NLC, 言語理解とコミュニケーション 0913-5685 103 115 67 72 20030613 rfj0161560/misc/26867241 KOBAYASHI Kuniyoshi 小林 邦嘉 TSUGE Satoru 柘植 覚 REN Fuji 任 福継 KUROIWA Shingo 黒岩 眞吾 A Packet Loss Concealment Algorithem using Speech Recognition and Synthesis 音声認識・音声合成を用いた音声途切れ補間手法 日本音響学会研究発表会講演論文集 1340-3168 2003 1 179 180 20030318 rfj0161560/misc/23932064 FJ Ren S Mitsuyoshi K Yen CQ Zong HB Zhu An estimate method of the minimum entropy of natural languages COMPUTATIONAL LINGUISTICS AND INTELLIGENT TEXT PROCESSING, PROCEEDINGS 0302-9743 2588 382 392 20030000 10.1007/3-540-36456-0_39 rfj0161560/misc/23932063 CQ Zong FJ Ren Chinese utterance segmentation in spoken language translation COMPUTATIONAL LINGUISTICS AND INTELLIGENT TEXT PROCESSING, PROCEEDINGS 0302-9743 2588 516 525 20030000 10.1007/3-540-36456-0_55 rfj0161560/misc/23932062 Automatic Derivation of Programming Using Domain Knowledge International Journal of Information 6, No.2, pp.179-186 null null 20030000 rfj0161560/misc/23932061 Improvement of vector space information retrieval by using long-term relevance feedback International Journal of Asian Information-Science-Life 2, No.1,pp.83-96 null null 20030000 rfj0161560/misc/23932060 To Understand and Create the Emotion and Sensitivity International Journal of Information 6, No.5, pp.547-556 null null 20030000 rfj0161560/misc/23932071 XY Tai F Ren K Kita An information retrieval model based on vector space method by supervised learning INFORMATION PROCESSING & MANAGEMENT 0306-4573 38 6 749 764 20021100 10.1016/S0306-4573(01)00053-X rfj0161560/misc/23932069 H Shi YX Zhao XH Zhuang FJ Ren GAM: A general auto-associative memory model IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS 1745-1361 E85D 7 1153 1164 20020700 rfj0161560/misc/23932068 HB Zhu NP Sun M Sasaki K Eguchi T Tabata F Ren A Boltzmann machine with non-rejective move IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES 1745-1337 E85A 6 1229 1235 20020600 rfj0161560/misc/26867243 TSUGE Satoru 柘植 覚 KUROIWA Shingo 黒岩 眞吾 REN Fuji 任 福継 KITA Kenji 北 研二 A speech recognition using ETSI standard DSR front-end ETSI標準分散音声認識フロントエンドを用いた音声認識実験 日本音響学会研究発表会講演論文集 1340-3168 2002 1 171 172 20020318 rfj0161560/misc/23932072 Translation Rule and Empirical Knowledge in Machine Translation International journal of INFORMATION vol.5, No.1, pp.81-91 null null 20020000 rfj0161560/misc/23932070 Realizing Face-to-Face Interaction by View-based Tracking International Journal of Information Technology and Decision Making 1, No.2, pp.331-347 null null 20020000 rfj0161560/misc/23932067 New Advances on Multi-Lingual Multi-Function Multi-Media Intelligent System International Journal of Asian Information-Science-Life 1, No.1, pp.83-92 null null 20020000 rfj0161560/misc/23932066 A Multi-Engine Translation Approach to Machine Translation International Journal of Information Technology and Decision Making 1, No.2, PP.349-366 null null 20020000 rfj0161560/misc/23932065 長期的適合性フィードバックによるベクトル空間モデルの精度改善 情報誌 5, No.2, pp.255-265 null null 20020000 rfj0161560/misc/26867245 TSUGE Satoru 柘植 覚 KUROIWA Shingo 黒岩 眞吾 REN Fuji 任 福継 KITA Kenji 北 研二 A Study of Phoneme Dependent Linear Discriminant Analysis 音素依存線形判別分析の検討 日本音響学会研究発表会講演論文集 1340-3168 2001 2 177 178 20011001 rfj0161560/misc/37907133 ZAIMA Yasumichi 財満 康通 YASUKAWA Ryoko 安川 涼子 REN Fuji 任 福継 AIZAWA Teruaki 相沢 輝昭 Text alignment using the statistical technique and the language feature 統計手法と言語特徴を用いたテキストアライメント Translation corpora are used in machine translation widely. However, most bilingual texts are not matched in sentences, although matched as the whole text. This paper describes the method for the text alignment (sentence matching). The method uses statistical information (the occurrence probability and the number ratio of characters of a correspondence group pattern) and the language feature. A sentence is matched by calculating the evaluation value of each correspondence group by the occurrence probability and the number ratio of characters of a correspondence group pattern, and asking for the best correspondence using the dynamic programming method. Our research aims both Japanese-English and Japanese-Chinese. The language feature for Japanese-English is about Japanese syllabary. Moreover, for Japanese-Chinese, a sentence is matched in consideration of the number of coincidence of a Chinese character. A prototype system based on the proposed method has been built and experiments on both Japanese-English and Japanese-Chinese have been carried out. The results show the accuracy for Japanese-English was 75%, and for Japanese-Chinese was 60%, respectively. 機械翻駅などの研究で用いられる対訳テキストは,テキスト全体としては対応付けられているが,文ごとまたは単語ごとについては対応付けられていない.そこで本研究では,この対訳テキストの文の対応付け(テキストアライメント)を統計情報(対応組パターンの生起確率と文字数比)と言語特徴を用いて行う手法について述べる.各対応組の評価値を対応組パターンの生起確率と文字数比で求め,動的計画法を用いて最も良い対応組列を求めることにより文の対応付けを行う.日本語と英語,日本語と中国語を対象とする.言語特徴としては,日本語と英語の場合は,日本語の各種表記を用い,また,日本語と中国語の場合は,漢字の一致数を考慮する.文対応付けの実験を行い,日本語と英語の場合には,全体として75%程度,日本語と中国語の場合には,60%弱の精度が得られた. The Institute of Electronics, Information and Communication Engineers 一般社団法人電子情報通信学会 IEICE technical report. Natural language understanding and models of communication 電子情報通信学会技術研究報告. NLC, 言語理解とコミュニケーション 0913-5685 100 700 1 8 20010316 rfj0161560/misc/23932074 F Ren A hybrid approach of text segmentation based on sensitive word concept for NLP COMPUTATIONAL LINGUISTICS AND INTELLIGENT TEXT PROCESSING 0302-9743 2004 375 388 20010000 rfj0161560/misc/23932073 Making a Local Map of Indoor Environments by Swiveling a Camera and a Sonar International journal of INFORMATION 4, No.2, pp.223-232 null null 20010000 rfj0161560/misc/23932015 New Machine Translation Paradigm : Parallel Translation CASEJ Symposium Series 2001 1 17 28 20010000 rfj0161560/misc/23932014 F Ren H Shi Parallel Machine Translation: Principles and practice SEVENTH IEEE INTERNATIONAL CONFERENCE ON ENGINEERING OF COMPLEX COMPUTER SYSTEMS, PROCEEDINGS 249 259 20010000 rfj0161560/misc/23931993 Making a Local Map of Indoor Environments by Swiveling a Camera and a Sonar(共著) INFORMATION 4 2 223 232 20010000 rfj0161560/misc/23931992 A Hybird Approach of Text Segmentation Based on Sensitive Word Concept for NLP Computational Linguistics and Intelligent Text processing, Ed. Alexander Gelbukh, Springer. LNCS 2004, 375 388 20010000 rfj0161560/misc/37905549 REN Fuji Ren Fuji ZHOU Qiang Zhou Qiang SHI Hongchi Shi Hongchi Automatic Extraction of Important Sentences and Its Valuation 重要文の自動抽出とその評価について In this paper, we describe a method that uses both statistical and structural information in sentence extraction. In addition, following the analysis of human extractions, several heuristic rules are added to filter non-important sentences and to prevent similar sentence from being extracted. Our exprimental results proved the effectiveness of these means. In particular, once the heuristic rules being added, a significant improvement has been observed. How to evaluation of the quality of the extracted abstract is still an issue. Some methods have been presented to evaluate it. However, there is not a generally accepted good evaluation method. Based on the analysis of the distribution of human extracted important sentences we propose the evaluation criteria for the automatic important sentence extraction system. As the method uses double square roots, we call the method double square root method. 重要文の自動抽出とは，文章中から重要な文を，コンピュータにより抜き出すということである．多くの電子化文書が流通することに従って，重要文の自動抽出は益々重要な課題になり，実用的な自動抽出システムが要請されている．我々は，統計情報と文章の構造特徴に基づくアプローチを用い，科学技術論文の重要文自動抽出システムを開発している．一方，いかに重要文を自動抽出するシステムを評価するかが多くの手法を提案したが，標準的な評価方法までに至ってない．人間の重要文抽出状況を調査した上，一つの評価方法を提案する．最後に，この評価手法を用い，我々のシステムの性能を考察する． The Institute of Electronics, Information and Communication Engineers 一般社団法人電子情報通信学会 IEICE technical report. Natural language understanding and models of communication 電子情報通信学会技術研究報告. NLC, 言語理解とコミュニケーション 0913-5685 100 100 17 23 20000522 rfj0161560/misc/23932076 Dialogue Machine Translation based upon Parallel Translation Engines and Face Image Processing INFORMATION 3,No.4, pp.521-531 null null 20000000 rfj0161560/misc/23932013 FJ Ren HC Shi A general ontology based Multi-lingual Multi-function Multi-media Intelligent System SMC 2000 CONFERENCE PROCEEDINGS: 2000 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN & CYBERNETICS, VOL 1-5 1062-922X 4 2362 2368 20000000 rfj0161560/misc/23932012 F Ren Y Takehara Tool MKSF for acquiring super-function in JAVA SMC 2000 CONFERENCE PROCEEDINGS: 2000 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN & CYBERNETICS, VOL 1-5 1062-922X 4 2473 2480 20000000 rfj0161560/misc/23932011 Japanese-Chinese Machine Translation Using Very Large Corpora(共著) The International conference on Information 2000 160 167 20000000 rfj0161560/misc/23932010 Sensitive Words and their application in Chinese Language Processing(共著) The Third International Workshop on TEXT, SPEECH and DIALOGUE 121 126 20000000 rfj0161560/misc/23932009 F Ren A parallel approach to incorporating face image information into dialogue processing PARALLEL AND DISTRIBUTED METHODS FOR IMAGE PROCESSING IV 0277-786X 4118 67 78 20000000 rfj0161560/misc/23932008 F Ren Dialogue machine translation system using multiple translation processors 11TH INTERNATIONAL WORKSHOP ON DATABASE AND EXPERT SYSTEMS APPLICATION, PROCEEDINGS 143 148 20000000 rfj0161560/misc/23932007 Automatic Extraction of Important Sentences using Statistical Information and Structural Featurdes(共著) IASTED(The International Association of Science and Technology for Development in cooperation with The American Association for Artificial Intelligence), International Conference on Artificial Intelligence and Soft Computing 479 486 20000000 rfj0161560/misc/23932006 Multi-Engine Based machine Translation and WMV Algorithm The Fifth International Conference on Computer Science and Informatics 402 406 20000000 rfj0161560/misc/23931991 FJ Ren JY Nie Sensitive words and their application to Chinese processing TEXT, SPEECH AND DIALOGUE, PROCEEDINGS 0302-9743 1902 121 126 20000000 rfj0161560/misc/23931990 Dialogue Machine Translation based upon Parallel Translation Engines and Face Image Processing(共著) INFORMATION 3 4 521 531 20000000 rfj0161560/misc/23931989 Qiang Zhou Fuji Ren Acquisitions and applications of structure preference relations in Chinese Natural Language Engineering 1469-8110 6 2 163 181 20000000 10.1017/S1351324900002448 2-s2.0-84937327176 rfj0161560/misc/23931959 JY Nie F Ren Chinese information retrieval: using characters or words? INFORMATION PROCESSING & MANAGEMENT 0306-4573 35 4 443 462 19990700 10.1016/S0306-4573(98)00051-X rfj0161560/misc/23932083 An Optimal Combinations Approach for Cost Estimation Models of Management Information System INFORMATION 2, No.4, pp.471-478 null null 19990000 rfj0161560/misc/23932082 On Rule Extraction from Translation Examples in Machine Translation Communications of COLIPS 9, No.1, pp.19-39 null null 19990000 rfj0161560/misc/23932081 Visualization and Synthesizing of Ocean Waves INFORMATION 2,No.2, pp.243-248 null null 19990000 rfj0161560/misc/23932080 The Concept of Sensitive Word in Chinese - Survey in a Machine-Readable Dictionary Journal of Natural Language Processing 6, No.1,pp.59-78 null null 19990000 rfj0161560/misc/23932078 Super-Function Based Machine Translation Communications of COLIPS 9, No.1, pp.83-100 null null 19990000 rfj0161560/misc/23932041 T+文法の開発及びコーパスの収集,HCU-IS-99-006 null null 19990000 rfj0161560/misc/23932040 自然言語記述からプログラムへの生成を支援するシステムの提案，(広島市立大学情報科学部)HCU-IS-99-012(共著) null null 19990000 rfj0161560/misc/23932005 SFBMT Project and Tool Development for Acquisition of Super-Functions Proceedings of the IASTED International Conference on Artificial Intelligence and Soft Computing 462 467 19990000 rfj0161560/misc/23932004 SAAK Approach : How to Acquire Knowledge in an Actual Application System? (共著) Proceedings of the IASTED International Conference on Artificial Intelligence and Soft Computing 136 140 19990000 rfj0161560/misc/23932003 Dialogue machine Translation Using Multi-Processors(共著) Proceedings of International Conference on Machine Translation & Computer Language Information Processing 100 105 19990000 rfj0161560/misc/23932002 F Ren Y Zaima Automatic derivation of programs for image processing from natural language descriptions PARALLEL AND DISTRIBUTED METHODS FOR IMAGE PROCESSING III 0277-786X 3817 62 73 19990000 rfj0161560/misc/23932001 Encoding/Decoding video streams on the VGI parallel computer(共著) Proceedings of the IASTED Parallel and Distributed Computing and Systems 1 6 19990000 rfj0161560/misc/23932000 Automatic Inference for Chinese Probabilistic Context-Free Grammar(共著) the 5th Natural Language Processing Pacific Rim Symposium 73 78 19990000 rfj0161560/misc/23931999 MMM and New Machine Translation Approach Proceedings of International Conference on Machine Translation & Computer Language Information Processing 38 44 19990000 rfj0161560/misc/23931998 A Hybrid Approach to Automatic Checking and Correction of Chinese Texts Proceedings of seventeenth IASTED International Conference on Applied Informatics 17 22 19990000 rfj0161560/misc/23931988 Super-Function Based machine Translation Communication of COLIPS 9 1 83 100 19990000 rfj0161560/misc/23931987 Chinese Information Retrieval : Using Characters or Words? (共著) Information Processing and Management 0306-4573 35 4 443 462 19990000 10.1016/S0306-4573(98)00051-X rfj0161560/misc/23931986 The Concept of Sensitive Word in Chinese-Survey in a Machine-Readable Dictionary(共著) Journal of Natural Language Processing 6 1 59 78 19990000 rfj0161560/misc/23931985 Visu alization and Synthesizing of Ocean Waves(共著) INFORMARION 2 2 243 248 19990000 rfj0161560/misc/23931984 On Rule Extraction from Translation Examples in Machine Translation(共著) ommunications of COLIPS 9 1 19 39 19990000 rfj0161560/misc/23931983 An Optimal Combinations Approach for Cost Estimation Models of Management Information System(共著) INFORMATION 2 4 471 478 19990000 rfj0161560/misc/23931957 Visualization and Synthesizing of Ocean Waves Information 2 2 243 248 19990000 rfj0161560/misc/23931956 An Optimal Combinations Approach for Cost Estimation Models on Management Information system Information 2 4 471 478 19990000 rfj0161560/misc/23931955 The Concept of Sensitive Word in Chinese-A preliminary Study Natural Language Processing 6 1 59 78 19990000 rfj0161560/misc/38870434 REN Fuji 任福継 SADANAGA Yasushi 定永 靖史 An Automatic Extraction of Important Sentences Using Statistical Information and Structural Feature 統計情報と文章構造特徴に基づく重要文の自動抽出 The advent of inexpensive mass storage, particularly CD-ROM, has made possible the publication of intellectual properties such as books or journals in electronic form. Several experimental studies have been conducted to answer how to effectively access the text information. In this paper, we propose a method for extracting important sentences in articles based on statistical information and structural feature. An experimental system based on this method was constructed and an experiment on five papers was carried out. The result shows that the proposed method is effective. インターネットを代表とするコンピュータネットワークの発達や，CD-ROM等の大容量メディアによる出版物の普及が進み，多くの電子化された文書が流通するようになっている．本稿ではこのような文書情報へのアクセス支援のための重要文抽出方法について考察し，統計情報と文章構造特徴に基づくアプローチを提案する．重要文抽出は従来の自動要約概念と似ているが，重要文抽出では，抽出した文全体の文脈や，流暢性があまり気にしない点のみ違う．本手法では単に統計情報を用い要約文の作成を行うことではなく，文の意味的な構造情報も利用したので，従来の統計手法より，より良い重要文の抽出が期待される．この手法に基づき，重要文自動抽出実験システムを構築し，科学技術論文を用い，評価実験を行った．実験結果から，本文で提案した手法の有効性と実用性を確認することができた．The advent of inexpensive mass storage, particularly CD-ROM, has made possible the publication of intellectual properties such as books or journals in electronic form. Several experimental studies have been conducted to answer how to effectively access the text information. In this paper, we propose a method for extracting important sentences in articles based on statistical information and structural feature. An experimental system based on this method was constructed and an experiment on five papers was carried out. The result shows that the proposed method is effective. Information Processing Society of Japan (IPSJ) 一般社団法人情報処理学会 IPSJ SIG Notes 情報処理学会研究報告自然言語処理(NL) 1998 48 71 78 19980528 rfj0161560/misc/38870433 REN Fuji Fuji Ren ZHANG Jianping Jianping Zhang LUO Zhensheng Zhensheng Luo Word Segment in the Real World 実世界テキストセクメンテーション Special features of word characters and statistical information present considerable challenges for text segmentation. The text segmentation mainly solves the three key problems : (1) the organization and architecture of the dictionary, and the segmentation algorithm ; (2) the algorithm for the resolving of ambiguity ; and (3) the discovery of new words, including names of people, places, and institutions. We present a hybrid approach that combines the rule-based method and the probability-based method to the segmentation of Chinese texts. In this paper, We frist present a high-performance single-scanning segmentation algorithm, which is based on a sorted word initial dictionary. Second, we discuss the detection and resolving of ambiguity in the segmentation. Third, we describe an algorithm of new words discovery. テキスト自動分割(テキストセクメンテーション)は中国語計算機処理におけるボトルネックになっている．辞書を利用してテキストセクメンテーションを行う際に，主に次のような3つの問題，即ち(1)辞書の構造と高速な分割アルゴリズム，(2)分割曖昧性の解消，(3)新単語の検出，を解決しなければ成らないと考える．本論文では，単語の特徴と統計情報を利用し，規則に基づく手法と統計に基づく手法を融合した統合アプローチを提案する．まず，我々の開発した高速的なセクメンテーションアルゴリズムを記述し，その基盤となる辞書構造を紹介する．そして，セクメンテーション曖昧性の発現と解消方法を提案する．最後に，この手法に基づいたシステムの実験結果を報告する．Special features of word characters and statistical information present considerable challenges for text segmentation. The text segmentation mainly solves the three key problems: (1) the organization and architecture of the dictionary, and the segmentation algorithm; (2) the algorithm for the resolving of ambiguity; and (3) the discovery of new words, including names of people, places, and institutions. We present a hybrid approach that combines the rule-based method and the probability-based method to the segmentation of Chinese texts. In this paper, We frist present a high-performance single-scanning segmentation algorithm, which is based on a sorted word initial dictionary. Second, we discuss the detection and resolving of ambiguity in the segmentation. Third, we describe an algorithm of new words discovery. Information Processing Society of Japan (IPSJ) 一般社団法人情報処理学会 IPSJ SIG Notes 情報処理学会研究報告自然言語処理(NL) 1998 48 79 86 19980528 rfj0161560/misc/38606906 任 福継 簡 幼良 范 莉馨 栃内 香次 対訳コーパスから細粒度翻訳知識の自動獲得手法 全国大会講演論文集 56 247 248 19980317 rfj0161560/misc/38870544 REN Fuji 任福継 NIE Jian-Yun NieJian-Yun The Concept of Sensitive Word in Chinese Machine Translation 中国語機械翻訳における敏感語概念 In Machine Translation (MT), using compound words or phrases makes the translation process easier. For example, the phrase "" corresponds unambiguously to "information highway". It is not necessary to break it down to "information" and "highway". However, some compound words (phrases) in Chinese are composed of simpler words which can play significantly different roles in sentences when they are broken down. For example, the compound word " " (machine translation) may be broken into "" (machine) and " " (translate), as in the sentence " " (He uses a machine to translate papers). We call such a compound word a Sensitive Word. During Chinese MT processing, if the first segmentation result leads to a failure, the alternative solution with a sensitive word broken down is considered as the preferred one. This allows us to reach at a higher efficiency by avoiding examining impossible segmentation solutions. In this paper, we describe the problems related to sensitive words. A machine readable dictionary has been examined, and more than 800 sensitive words have been found. This shows that sensitive word is a common phenomenon in Chinese that is worth closer examination 機械翻訳を代表とする自然言語処理において，文の解析を高精度，かつ効率良く行うという観点からすれば，できるだけ複合語単位で処理することが望ましい．例えば，中国語"信息高速公路"(ハイウェー)について我々は"信息"と"高速公路"に分割する必要がない．しかし，中国語の複合語は，場合によっては分割しなければ正しく解析できないことが多い．例えば，"他用机器翻★文章"(彼は機械で文献を翻訳する)中の"机器翻★"について，''机器"(機械)と"翻★"(翻訳+する)に分解する必要がある．このような複合語を本論文では敏感語と呼ぶことにする．中国語文の処理において，形態素解析のある候補を用い構文解析や意味解析などを処理する途中で失敗した場合，このような敏感語のみを次の解析候補とすれば，すべての複合語を解析候補とする必要がなくなる．それで，敏感語という概念を導入することにより，高効率的な中国語文処現が期待できる．本論文では，上述の敏感語についての概念を提案し，さらに87599語の中国語辞書を用い実験と検討を行った結果を報告する．In Machine Translation (MT), using compound words or phrases makes the translation process easier. For example, the phrase "信息高速公" corresponds unambiguously to "information highway". It is not necessary to break it down to "information" and "highway". However, some compound words (phrases) in Chinese are composed of simpler words which can play significantly different roles in sentences when they are broken down. For example, the compound word "机器翻★" (machine translation) may be broken into "机器" (machine) and "翻★" (translate), as in the sentence "他用机器翻★文" (He uses a machine to translate papers). We call such a compound word a Sensitive Word. During Chinese MT processing, if the first segmentation result leads to a failure, the alternative solution with a sensitive word broken down is considered as the preferred one. This allows us to reach at a higher efficiency by avoiding examining impossible segmentation solutions. In this paper, we describe the problems related to sensitive words. A machine readable dictionary has been examined, and more than 800 sensitive words have been found. This shows that sensitive word is a common phenomenon in Chinese that is worth closer examination. Information Processing Society of Japan (IPSJ) 一般社団法人情報処理学会 IPSJ SIG Notes 情報処理学会研究報告自然言語処理(NL) 1998 1 17 24 19980119 rfj0161560/misc/23932086 Automatic Acquisition of Machine Translation Rule from Parallel Corpora Communications of COLIPS 8, No.1,pp43-69 null null 19980000 rfj0161560/misc/23932085 A New Approach to Using Corpus in Machine Translation Journal of Information 1, No.2, pp.85-103 null null 19980000 rfj0161560/misc/23932084 Algorithm Study on Large-Scale Feature Selection Problem Journal of Tsinghua University 38, No.s2,pp.154-156 null null 19980000 rfj0161560/misc/23932017 A Multilayer Integration Approach to the Automatic Checking and Correction of Texts, HCU-IS-98-005 null null 19980000 rfj0161560/misc/23932016 Automatic Acquisition of Japanese-Chinese Translation Knowledge from Parallel corpora,HCU-IS-98-004 null null 19980000 rfj0161560/misc/23931997 A Hybrid approach to the Real World Text Segmentation(共著) Proceedings of 4th International Conference on computer Science and Informatics, JCIS 3 243 249 19980000 rfj0161560/misc/23931996 Chinese Sensitive Words and Their Impact in Machine Translation(共著) LASSO-98 : The 27th annual meeting of the Linguistic Association of the South-west 1 8 19980000 rfj0161560/misc/23931995 Automatic Japanese-Chinese Parallel Text Alignment(共著) Proceedings of 1998 International Conference on Chinese Information Processing, 452 457 19980000 rfj0161560/misc/23931994 Semi-Automatic Acquisition of Translation Knowledge from Examples(共著) Proceedings of 1998 International Conference on Chinese Infromation Processing, 444 451 19980000 rfj0161560/misc/23931982 Algorithm Study on Large-Scale Feature Selection Problem(共著) Journal of Tsinghua University 38 2 154 156 19980000 rfj0161560/misc/23931981 A New Approach to Using Corpus in Machine Translation(共著) Journal of Information 1 2 85 103 19980000 rfj0161560/misc/23931980 Automatic Acquisition of Machine Translation Rule from Parallel Corpora(共著) Communications of COLIPS 8 1 43 69 19980000 rfj0161560/misc/23931958 Automatic Acquisition of Machine Translation Rule from Parallel Corpora Communications of COLIPS 8 2 43 69 19980000 rfj0161560/misc/23931954 New Approach to using Corpus in Machine Translation Information 1 2 85 103 19980000 rfj0161560/misc/23931944 A New Approach to Using Corpus in Machine Translation Information 1 2 85 104 19980000 rfj0161560/misc/23932088 Outline of SFBMT Project Language Engineering pp.305-312 null null 19970000 rfj0161560/misc/23932087 A Robust Machine Translation System Based on Multi-Processes Communications of COLIPS 7,No.1,pp.17-26 null null 19970000 rfj0161560/misc/23932020 New Concept of Sensitive Word, HCU-IS-97-008 null null 19970000 rfj0161560/misc/23932019 An Algorithm for Determining Structural Particle, HCU-IS-97-005 null null 19970000 rfj0161560/misc/23932018 Super-Function Based Machine Translation Approach, HCU-IS-97-003 null null 19970000 rfj0161560/misc/23931979 A Robust Machine Translation System Based on Multi-Processes(共著) Communications of COLIPS 7 1 17 26 19970000 rfj0161560/misc/23931978 Outline of SFBMT Project Language Engineering 305 312 19970000 rfj0161560/misc/23931946 A Robust Machine Translation System Based on Multi-Processes Commuications of COLIPS 7 1 17 26 19970000 rfj0161560/misc/23931945 Outline of SFBMT Language Engineering 97 1 305 312 19970000 rfj0161560/misc/39345686 REN Fuji 任 福継 Spoken Language Machine Translation Using Cooperative Distributed Method 分散協調方式を用いた対話文の機械翻訳 言語処理学会年次大会発表論文集 = Proceedings of the ... annual meeting of the Association for Natural Language Processing 2 5 8 19960326 rfj0161560/misc/38870367 REN Fuji 任福継 Handling Technique of Ill - Formed Sentences in Japanese - Chinese Machine Translation 日中会話文機械翻訳における不適格な表現の処理 In natural dialogues, speakers make many kinds of ill-formed sentences such as ellipsis. A robust natural language processing system must be able to allow such ill-formed sentences and derive correct interpretations from the ill-formed sentences. But existing machine translation systems reject utterances including ellipses and ill-formed expressions. In this paper, a new concept, Persisting Ellipsis and Critical Ellipsis in machine translation, is put forward, and a method for handling ill-formed sentences, called Cooperative Fusion Machine Translation (CFMT), is presented. The CFMT advocates the ideas: (1) All-Constraint based translation process, (2) Syntactic-Constraint based translation process, and (3) Semantic-Constraint based translation process. An experimental system based on this method has been constructed and some results are given in this papaer. The results show that CFMT is a promising technique for high-quality and efficient spoken language machine translation. 自然言語による日常会話には，省略を始めとして多種多様な不適格性が数多く出現する．頑健な自然言語処理システムであればこのような不適格な発話から話者の意図した意味が推定できる．一方，従来の機械翻訳システムは，多くの場合，文法的な文のみを理解し翻訳するように作られており，非文法的な文は扱えない．本論文では，機械翻訳という視点から自然言語文の省略について検討を行い，固執省略と臨界省略という新しい概念並びに複数の翻訳プロセスをもつ協調融合型機械翻訳(FM)手法を提案する．CFMT手法では，全情報制約翻訳プロセス，意味的制約主導の翻訳プロセス，統語的制約主導の翻訳プロセス，などの独立した翻訳プロセスがある．著者らはCFMT手法をSWKJCの下に翻訳実験を行った．その結果，CFMT手法による高品質で効率的な会話文機械翻訳の実現可能性を確認することができた．In natural dialogues, speakers make many kinds of ill-formed sentences such as ellipsis. A robust natural language processing system must be able to allow such ill-formed sentences and derive correct interpretations from the ill-formed sentences. But existing machine translation systems reject utterances including ellipses and ill-formed expressions. In this paper, a new concept, Persisting Ellipsis and Critical Ellipsis in machine translation, is put forward, and a method for handling i11-formed sentences, called Cooperative Fusion Machine Translation (CFMT), is presented. The CFMT advocates the ideas: (1) All-Constraint based translation process, (2) Syntactic-Constraint based translation process, and (3) Semantic-Constraint based translation process. An experimental system based on this method has been constructed and some results are given in this papaer. The results show that CFMT is a promising technique for high-quality and efficient spoken language machine translation. Information Processing Society of Japan (IPSJ) 一般社団法人情報処理学会 IPSJ SIG Notes 情報処理学会研究報告自然言語処理(NL) 1996 27 45 52 19960314 rfj0161560/misc/23932042 複数のプロセスを用いた協調融合型機械翻訳，HCU-IS-96-005 null null 19960000 rfj0161560/misc/23932022 SWKJC Machine Translation System Based on Translation Rules Acquired from Corpora,HCU-IS-96-004 null null 19960000 rfj0161560/misc/23932021 Cooperative Distributed Processing for Machine Translation, HCU-IS-95-006 null null 19960000 rfj0161560/misc/23931977 Machine Translation and Empirical Knowledge Science and Technology 2 2 35 55 19960000 rfj0161560/misc/23932043 次世代自然言語における超並列処理について，HCU-IS-95-023 null null 19950000 rfj0161560/misc/23932023 Processing Method of Reservable Structural Am biguities in Machine Translation,HCU-IS-95-018 null null 19950000 rfj0161560/misc/23931976 Natural Language Processing Science and Technology 1 1 51 62 19950000 rfj0161560/misc/38871379 Fuji Ren 任福継 Chinese Japanese Machine Translation System Using the theme - type characteristics TSPO特徴を利用した中日機械翻訳 This paper tries to examine the theme-type characteristics of Chinese and Japanese, and presents a new method for Chinese-Japanese Machine Translation (CJMT) using the theme-type characteristics. We consider that Chinese and Japanese are theme-type languages, whose basic syntactic structures are Theme-Subject-Predicate-Object and Theme-Subject-Object-Predicate, respectively. This paper discusses the transition relationships between the deep structure and the surface structures of the syntax. 本稿では，中国語の複文分解及び各システムを検討し，動詞の細分類を行い，中国語が主題型言語であるという観点から，中日両言語の特徴を抽出し，TSPO性質の中日機械翻訳システムへの応用手法を提案する．ここで，Tは文の主題(e)，Sは文の主語(bie)，Pは文の述語(edicati)，Oは文の目的語(je)を示す．中国語文法の深層構造にはTSPO四つの項があり，TはS，P，Oと同一のレベルで使われている文法項である．実際にはこの深層構造TSPOからTSP，TPO，TSPOという表層構造に派生している．一方，日本語も主題型言語であると考えられる．その深層構造はTSOPであり，TSOPからいろいろな表層構造に派生している．この観点を用いると，従来の文法理論では解決できなかったいくつかの中国語特殊な文型は正確に解釈でき，正しい日本語訳文を生成できる．This paper tries to examine the theme-type characteristics of Chinese and Japanese, and presents a new method for Chinese-Japanese Machine Translation (CJMT) using the theme-type characteristics. We consider that Chinese and Japanese are theme-type languages, whose basic syntactic structures are Theme-Subject-Predicate-Object and Theme-Subject-Object-Predicate, respectively. This paper discusses the transition relationships between the deep structure and the surface structures of the syntax. Information Processing Society of Japan (IPSJ) 一般社団法人情報処理学会 IPSJ SIG Notes 情報処理学会研究報告自然言語処理(NL) 1994 77 129 136 19940915 rfj0161560/misc/39327867 REN Fuji 任 福継 On theme-type characteristics of Chinese and Japanese and its application in CJMT 中日言語のTSPO特徴及びCJMTへの応用について 人工知能学会全国大会論文集 = Proceedings of the Annual Conference of JSAI 0914-4293 8 637 640 19940620 rfj0161560/misc/27012268 范 莉馨 任 福継 宮永 喜一 栃内 香次 A Method of Chinese-Japanese Machine Translation Using Chinese Surface Structural Characteristics 中国語表層構造の特徴を利用した中日機械翻訳手法 社会の国際化が急速に進むにつれて, 国際間における産業情報・技術情報・文化情報の流通は増大しているのもかかわらず, 翻訳者の数は世界的にも不足傾向にあり, この需給ギャップを埋めるものとして機械翻訳に対するニーズが高まってきている．現在, 日本全体での翻訳の需要は年間数千億円に達すると言われている．また, この量は年々増加している．また潜在的な翻訳需要は, 翻訳のコストを考慮しなければ, 数倍にもなると予想されている．中国でも, 改革・開放の急速に進むにつれて, 翻訳の量がますます増している．このようなニーズに応えるため, 前述のように, ここ数年の間に機械翻訳システムの商用化が急速に進められてきている．特に, 近年のコンピュータ分野の技術進歩は著しいものがあり, 半導体技術に代表されるハードウェア技術とこれを支えるソフトウェア技術の進歩により, 大規模かつ高速演算が可能となった．また, 処理速度の工場とならんで, 人工知能の研究の進展が自然言語の取り扱いを容易にさせている．このような情報処理の技術基盤が強化されるにしたがって, ある程度の機械翻訳が可能となり, そしてその実用化が進められてきているところである．従って, 翻訳は本来, ただ単に1つの言語で表現された文章を別の言語による表明に置き換えるといった単純な技巧で形式的に行われるものではない．すなわち, 翻訳は人類のあらゆる文化的産物を背景にして, 人間のもつ知識と知能を駆使して行われる．従って, 機械翻訳システムの究極的な姿は, いわゆる人工知能技術を統合した給合的システムということになる．そのような理想的な機械翻訳システムに近づくには, まだまだ遠い道のりがある．機械翻訳の現状では,構文構造の複雑さ, 表層形と意味の対応の複雑さ, 原言語と目的言語の表現方法の隔たりなどが原因で, 正しい翻訳結果が得られないことが多い．また, 日本でも中国でも英語を主要な対象とした機械翻訳の研究．開発が多いが, 中日両言語間の機械翻訳に関する本格的な研究が開始されたばかりであり, 英日・英中言語間の機械翻訳と比較すると, 未開拓の部分が極めて多い．本論文では, 中日両言語の特徴を有効に利用した中日機械翻訳手法の研究について述べる．中日機械翻訳を実現するために, 日中両言語の特徴, 特に機械翻訳の観点から両言語の表現形態を検討しなければならない．すなわち中日両言語の特徴を把握し, それに基づいて翻訳システムの構造を検討することが必要である．中国語から日本語に訳す機械翻訳なので, 一番難しいのは勿論, 中国語の解析にある．特に, 中国語の固有の特点により, いまなお中国語の解析に関する研究が十分ではない．中国語表層構造の特徴を十分に把握できなければ, 質のよい中日機械翻訳システムが構築できないと考えられる．それゆえ, 本論文では中国語の解析を中心として, 中日機械翻訳手法の研究を展開する．即ち, 本研究においては中国語表層構造の特徴を利用した中日機械翻訳アルゴリズムを開発し, システムを構築する．また, アルゴリズムの有効性を確認するための実験および結果の評価を行う． 全国大会講演論文集 48 0 129 130 19940307 rfj0161560/misc/23932038 日中機械翻訳における離合詞の処理手法(共著) 情報処理学会論文誌 35 9 1702 1713 19940000 rfj0161560/misc/23932025 中日機械翻訳における離合詞の処理手法(共著) 情報処理学会論文誌 35 9 1702 1713 19940000 rfj0161560/misc/23932024 関連語を用いた文の分解に基づく中日機械翻訳システム(共著) 情報処理学会論文誌 35 12 2712 2724 19940000 rfj0161560/misc/23931975 A Chinese-Japanese Machine Translation System Using Sentence Partitioning 35 12 2712 2724 19940000 rfj0161560/misc/23931974 A Processing Method of Chinese "LIHECI" in Chinese-Japanese Machine Translation 35 9 1702 1713 19940000 rfj0161560/misc/23931948 A Processing Method of Chinese "LIHECI" in Chines-Japanese Machine Translation 35 9 1702 1713 19940000 rfj0161560/misc/23931947 A Chinese-Japanese Machine Translation System Using Sentence Pontitioning 35 12 2712 2724 19940000 rfj0161560/misc/39327625 REN Fu-Ji 任 福継 On Reservable Structural Ambiguties in Chinese-Japanese Machine Tranlation 中日機械翻訳における可保留曖昧関係について 人工知能学会全国大会論文集 = Proceedings of the Annual Conference of JSAI 0914-4293 7 529 532 19930720 rfj0161560/misc/23932037 REN Fuji 任福継 FAN Lixin 范莉馨 MIYANAGA Yoshikazu 宮永 喜一 TOCHINAI Koji 栃内 香次 On Reservable Structural Ambiguities in Japanese - Chinese Machine Translation 日中機械翻訳における係り受け構造の可保留曖昧関係について(共著) In this paper a new concept, Reservable Structural Ambiguities (RSA) in Japanese-Chinese machine translation, is presented. The RSA are structural ambiguities of Japanese which can be translated into Chinese without being resolved. Usually, when translating from one language to another which doesn't belong to the same "language family", structural ambiguities must be resolved. However, Japanese and Chinese don't belong to the same family, their difference being mostly on sentence structure. However, some parts of their sentences are similar, making RSA possible, and this paper will focus on them. Some RSA patterns will be discussed and a method for generation of Chinese from Japanese sentences with RSA will be given. An experimental system based on this method was constructed and an experiment on 806 sentences which had RSA, taken from 2919 sentences from technical articles, was carried out. The result was a correct translation rate of about 97.7%, showing that the proposed method is quite effective. 非同族言誘間の機械翻訳では，原言語の係り受け構造の暖昧性をあらかじめ解消しなければならないとされている．日本語と中国語は非同族の言語であり，文全体の構造は異なるが，文のある部分ではその語順が同じである．この部分に対して，目本語の係り受け構造の暖味性を残したまま翻訳しても中国語においても目本語の意味を復元されると考えられる．そして，あらかじめ与える訳文関数を用いてこの部分の翻訳を行うことができる．本論文では，上記のことに着目して日中機械翻訳における可保留曖昧関係(RSA)を提案する．可保留曖昧関係は原言語の係り受け構造の唆昧性を解消しなくてもその訳文を生成できる曖昧関係である．具体例として，並列助詞「と」と連体助詞「の」と名詞からなる名詞句および用言連体形からなる文の係り受け構造の可保留曖昧性について検討し，翻訳手法を提案する．技術論文2919文から上記可保留曖昧関係パターンをもつ806文を抽出し，翻訳実験を行った結果，正解率は97．7%であった．これにより，本論文で提案した手法の有効性を確認することができた． Information Processing Society of Japan (IPSJ) 一般社団法人情報処理学会 IPSJ Journal 情報処理学会論文誌 1882-7764 34 8 1682 1691 19930000 rfj0161560/misc/23932026 日中機械翻訳における係り受け構造の可保留曖味関係について 情報処理学会論文誌 34 8 1682 1691 19930000 rfj0161560/misc/23931973 Automatic Composition of Chinese Compound Words for Chinese-Japanese Machine Translation System(共著) Computational Linguistics 262 267 19930000 rfj0161560/misc/23931972 On Reservable Structural Am biguities in Logically Parallel Translation System Computational Linguistics 256 261 19930000 rfj0161560/misc/23931971 On Reservable Structural Am biguities in JCMT(共著) Journal of Dalian University of Technology 33 2 242 251 19930000 rfj0161560/misc/23931970 On Reservable Structural Am biguities in Japanese-Chinese Machine Translation 34 8 1682 1691 19930000 rfj0161560/misc/23931949 On Reservable Structural Anbiguities in Japanese-Chinese Machine Translation(共著) 34 8 1682 1691 19930000 rfj0161560/misc/27012275 范 莉肇 任 福継 宮永 喜一 栃内 香次 A Chinese-Japanese Machine Translation System Using Characteritics 構文構造に基づく中日機械翻訳システム 一般に中国語文では複文の頻度が大きい．従って中日機械翻訳システムの性能は複文に対する翻訳能力に支配される．本稿では複文の構造的特徴に着目した中日機械翻訳手法について述べる． 全国大会講演論文集 44 0 137 138 19920224 rfj0161560/misc/23932036 基於家族模型的機械翻訳系統(共著) 中国科学技術協会，科学技術出版社 232 237 19920000 rfj0161560/misc/23932035 利用句構造特徴実現的機械翻訳(共著) 中国科学技術協会，科学技術出版社 431 436 19920000 rfj0161560/misc/23932034 日中機械翻訳におけるChinese複合語の自動合成(共著) 情報処理学会論文誌 33 9 1103 1113 19920000 rfj0161560/misc/23932027 中日機械翻訳における中国語複合語の自動合成(共著) 情報処理学会論文誌 33 9 1103 1113 19920000 rfj0161560/misc/23931969 Family Machine Translation Model 232 237 19920000 rfj0161560/misc/23931968 Machine Translation Based on Sentence structure characteristics 431 436 19920000 rfj0161560/misc/23931950 Automatic Composition of Chinese Compound Words for Chinese-Japanese Machine Translation 33 9 1103 1113 19920000 rfj0161560/misc/23932033 意味属性によるChinese補助語の推定アルゴリズム(共著) 情報処理学会論文誌 32 11 1374 1382 19910000 rfj0161560/misc/23932031 日中常用文型機械翻訳システム(共著) 電子情報通信学会論文誌 J74D-II 8 1060 1069 19910000 rfj0161560/misc/23932030 家族モデルを用いた文の分解に基づく日中機械翻訳システム(共著) 情報処理学会論文誌 32 10 1249 1258 19910000 rfj0161560/misc/23932029 任 福継 宮永 喜一 栃内 香 日中常用文型機械翻訳システム(共著) 電子情報通信学会情報・システムソサイエティ 電子情報通信学会論文誌D-II 0915-1923 74 8 1060 1069 19910000 rfj0161560/misc/23932028 意味属性による中国語補助語の推定アルゴリズム(共著) 情報処理学会論文誌 32 11 1374 1382 19910000 rfj0161560/misc/23931964 A Japanese-Chinese Machine Translation System Using Common Phrases J74D-II 8 1060 1069 19910000 rfj0161560/misc/23931953 A Japanese-Chinese Machine Translation System Using a Family Model 32 10 1249 1258 19910000 rfj0161560/misc/23931952 A Japanese-Chinese Machine Translation System Using Common Phrases 74 8 1060 1069 19910000 rfj0161560/misc/23931951 An Algorithm for Estimating Chinese Supplementary Words in Japanese-Chinese Machine Translation System 32 11 1374 1382 19910000 rfj0161560/misc/23931963 Fanout Point-Oriented Fault Simulation in VLSI Journal of Chinese Computer 13 2 133 138 19900000 rfj0161560/misc/38477539 任福継 宮永 喜一 栃内 香次 THE OUTLINE OF JAPANESE - CHINESE MACHINE TRANSLATION SYSTEM BASED ON CODE METHOD コード方式日中機械翻訳の実験システムJCMTの概要 筆者らはコード方式日中機械翻訳実験システムを開発している．コード方式は，従来の翻訳方式における種々の問題点の検討に基づいて提案した新しい機械翻訳方式である．コード方式では，原言語分の解析結果を，コードという，文の意味的な基本の単位となる要素と，その要素のもつ意味の組の集合で表示するものである．しだがって，この方式は個別言語への依存性が少なく，多言語間の機械翻訳にも適していると考えられる．本稿では，この方式による日中機械翻訳実験システムの概要を述べ，翻訳実験の結果を示す．As a new system, a Japanese-Chinese machine translation system (JCMT) is constructed by use of a code method. In the method, intermediate results which are translated from original language become a set of codes. The code is a basic unit including the meaning of a sentence. The unit does not depend on a special language. Thus the method is convenient for multi-lingual machine translation. This paper shows the outline of JCMT and some results of translation. 情報処理学会研究報告自然言語処理(NL) 1989 40 1 8 19890519 rfj0161560/misc/23931962 Fault Simulation Algorithm for Multiple-Valued Logic Systems(共著) Journal of Microelectric Test 2 4 36 41 19880000 rfj0161560/misc/23931961 Graph Algorithm for Fault Simulation in Digital System(共著) Journal of Beijing University of Posts and Telecommunications 10 3 1 10 19870000 rfj0161560/misc/23931960 An Algorithm for Determining Chromatic Number and the Practical Approach Journal of Computer Applications and Software 3 4 58 63 19860000 rfj0161560/books_etc/13119959 Yu Gu Min Peng Fuji Ren Jie Li Smart Technologies for Emergency Response and Disaster Management (Chaoter 3, WiFi Fingerprint Localization for Emergency Response: Harvesting Environmental Dynamics for a Rapid Setup) IGI Global 20180100 rfj0161560/books_etc/13119960 Fuji Ren Shun Nishide Kazuyuki Matsumoto XIN KANG Duo Feng Mengjia He Artificial Intelligence with Uncertainty NTS 20170600 rfj0161560/books_etc/13119961 Fuji Ren Kazuyuki Matsumoto Natural Language Processing Capabilities Required for Humanoid Nursing Robots Fukuro Shuppan Publishing 20170300 rfj0161560/books_etc/13119962 Kazuyuki Matsumoto Fuji Ren Minoru Yoshida Kenji Kita Refinement by Filtering Translation Candidates and Similarity Based Approach to Expand Emotion Tagged Corpus We attempted to expand corpus without translating target linguistic resource. The result of the evaluation experiment using the machine learning algorithm showed the effectiveness of the expanded emotion corpus based on the original languages unannotated sentences and their similar sentences. 20170100 rfj0161560/books_etc/13119963 Zhongzhi Shi Ben Goertzel Fuji Ren Advanced Intelligence Tsinghua University Press, 20100800 rfj0161560/books_etc/13119964 Fuji Ren 任 福継 Language Engineering, Affective Computing and Advanced Intelligence BUPT publishing House 20091200 rfj0161560/books_etc/13119965 Ye Wu Fuji Ren A Corpus-based Multi-label Emotion Classification using Maximum Entropy INSTICC Press 20090600 rfj0161560/books_etc/6963475 Fuji Ren Yixin Zhong Shingo Kuroiwa Satoru Tsuge Artificial Intelligence and Affective Computing International Advanced Information Institute AIA 20070600 rfj0161560/books_etc/13119966 Fuji Ren 任 福継 Artificial Intelligence 人工知能，(分担) 中国科学出版社 20060600 rfj0161560/books_etc/6963477 Fuji Ren 任 福継 J.L. Feng 科学技術前縁 現代科学技術発展の特徴の一つとしては，科学発見と技術発明から産業応用までのスピードが益々速く，周期も益々短くなる．この本では科学技術の前縁的な課題，成果，進展と動向を紹介する．内容は以下のようなメイン課題である．情報処理の方法・動向，画像処理と植物生産への応用，現代ロボット，インターフェース，複雑システム，通信技術，材料とエネルギー，生物医療，遺伝工学などがある． 中国科学技術出版社 20030500 rfj0161560/books_etc/13119967 中野 靖久 Fuji Ren 任 福継 寺 内衛 教養としての情報処理 情報処理の基礎，一般情報処理演習の教材として，コンピュータの仕組み，ワークステーションの基本的な使い方，ウィンドウズの基本操作，文章の作成，図表の作成の方法，及び電子メールなどの使い方を述べる． 株式会社 大学教育出版 20010401 rfj0161560/books_etc/6963476 情報処理 20010000 rfj0161560/books_etc/13119968 Li Lei Fuji Ren Information 国際会議Information-2000で発表された論文から精選された論文集である．自然科学と数学，工学と農学，医療と人工生命，経済と社会に渡る広範囲の情報について最新の進展と成果を述べる．さらに，諸分野での今後の課題と展望について述べる． International Information Institute Press 20001001 rfj0161560/books_etc/13119969 Zhang Jianping Fuji Ren 任 福継 Geography Information System and MapInfo 地理情報システム 本書では地理情報システム(GIS)の基本知識及びMapInfoの応用技術を述べる．以下の3部分で構成される．第1部分は地理情報システム及びその開発技術を記述する．第2部分は地理情報システムの基本ソフトの使用方法及び応用実例を述べる．第3部分はMapBasic言語及びその応用について述べる． Science Press 19990501 rfj0161560/books_etc/13119971 Fuji Ren On Reservable Structural Ambiguities in Logically Parallel Translation System 本論文では，超並列機械翻訳というパラダイムを提案する．超並列機械翻訳とは，超並列計算機という新しい計算機アーキテクチャ及び超並列モデルを基盤として，超並列人工知能技術を利用する機械翻訳に関する研究である．我々は超並列機械翻訳を，物理的張並列機械翻訳と論理的張並列機械翻訳に大別する．本論文では論理的超並列機械翻訳の概念と手法を述べ，日中機械翻訳を例としてシステムの構成概要を紹介する．論理的超並列機械翻訳は多数のモジュールから構成される．その中に翻訳の流れ，翻訳の動作を制御するモジュールがある．これを制御モジュールという．その他のモジュールが並列に各自の仕事をする．制御モジュールの機能は，入力した原言語文を多数独立のタスクに分けて，これを相応のモジュールに提供する．そして，各モジュールから提供した結果を総合して最終の訳文を生成する．このような概念に基づき，日中機械翻訳を構築するための家族モデルを開発した．このシステムでは，現在5つの独立のモジュールを持っている．最後に文章の並列性の抽出，問題別のアルゴリズムの開発などを述べる． Computational Linguistics 19931100 rfj0161560/books_etc/13119970 Fan Lixin Fuji Ren Miyanaga Yoshikazu Tochinai Koji Automatic Composition of Chinese Compound Words for Chinese-Japanese Machine Translation System 機械翻訳において文の解析を高精度で，かつ効率良く行うという観点から，できるだけ複合語単位で処理することが望ましく，個別の単語として扱うと，構文解析結果に曖昧性を発生しやすく，以後の翻訳過程に大きな影響を与える．本論文では，中日機械翻訳のための中国語文の複合語の自動合成手法を提案する．本手法の特徴として，(1)形態素解析の誤りを避けるため，動詞性の兼用品詞からなる複合語は辞書に登録せず，その都度合成すること，(2)構文解析の曖昧性を減少または解消するため，できるだけ早い段階で複合語を合成すること，(3)複合語合成ルールを用意して複合語合成を容易に実現し，処理時間を短縮すること，などがあげられる．この手法に基づく実験システムを構築し，実験により，本論文で提案した手法の有効性を確認された． Computational Linguistics 19931100 rfj0161560/books_etc/13119973 Fan Lixin Fuji Ren 任 福継 宮永 喜一 栃内 香次 利用句構造特徴実現的機械翻訳 文を構成する句の特徴などを検討し，いろいろな句の構文特徴と意味関連性を抽出した．本論文ではこのような句の特徴に着目し，自動翻訳ルールを纏めた．さらに，このような翻訳ルールを開発している機械翻訳システムに組み込んで実験を行った． 科学技術出版社 19920500 rfj0161560/books_etc/13119972 Fuji Ren 任 福継 范 莉馨 基於家族模型的機器翻訳系統 我々は機械翻訳の新しい方法とする家族モデルを提案したが，このモデルを用い日中機械翻訳を開発し，その手法の有効性を評価する実験を行った．本論文ではこの実験結果を報告し，並列的な機械翻訳概念を提案した． 科学技術出版社 19920500 rfj0161560/works/4127021 日中口語翻訳システム 20020000 rfj0161560/works/4127026 自動会議議事録作成支援システム rfj0161560/works/4127025 感性会話システム rfj0161560/works/4127024 機械翻訳技術を活かした教育システム rfj0161560/works/4127023 波高分布解析システム rfj0161560/works/4127022 中日機械翻訳システム Ning Liu Fuji Ren 任 福継 Best Paper Award of The 12th International Conference on Natural Language Processing and Knowledge Engineering Multi-label Emotion Computing Using Dense Neural Network Based on Distance Feature Represented Ren_CECps 20171208 Kazuyuki Matsumoto 松本 和幸 Tanaka Satoshi 田中 聡 Minoru Yoshida 吉田 稔 Kenji Kita 北 研二 Fuji Ren 任 福継 Best Paper Award of The 11th International Conference on Natural Language Processing and Knowledge Engineering Ego-state Estimation from Short Texts Based on Sentence Distributed Representation 20161214 浦上 浩希 Shun Nishide 西出 俊 Fuji Ren 任 福継 電気関係学会 四国支部連合大会 音声フィードバックを用いた発達的な表情応答獲得モデルの構築 20160918 Inoue Yuta 井上 雄太 Fuji Ren 任 福継 Shun Nishide 西出 俊 Information Processing Society of Japan 情報処理学会 学生奨励賞 RGB-Dカメラを使用した頭部姿勢にロバストな表情認識手法 20160311 Fuji Ren 任 福継 財団法人康楽会 康楽会賞 脳と心を持たせる進化的アドバンスド知能ロボットの創造 20160116 Fuji Ren 任 福継 Shun Nishide 西出 俊 Tokushima University 徳島大学 エンジニアリングフェスティバル2015優秀賞 豊かな感情表現・認識が可能な感情発達ロボットの開発 20151015 Fuji Ren 任 福継 CAAI Award of Wu-wenjun Artifical Intelligence Science and Technology Advanced Interactive Robot based on Advanced Intelligence 20141200 Fuji Ren 任 福継 国際連携教育開発センター グローバル大学院工学教育賞 グローバル大学院工学教育賞 20140300 Changqin Quan Quan Changqin Dongyu Wan Bin Zhang Fuji Ren 任 福継 IEEE/SICE SII2013 Best Paper Award Reduce the Dimensions of Emotional Features by Principal Component Analysis for Speech Emotion Recognition 20131216 Fuji Ren 任 福継 CAAI Award of Wu-wenjun Artifical Intelligence Science and Technology Affective Computing Artificial Psychology theory and its applications 20121200 Sohrab G. Mohammad Fuji Ren 任 福継 IEEE 2012 CCIS Best Paper Award CLASS-INDEXING: THE EFFECTIVENESS OF CLASS-SPACE-DENSITY IN HIGH AND LOW-DIMENSIONAL VECTOR SPACE FOR TEXT CLASSIFICATION 20121101 Sun Xiao Quan Changqin Fuji Ren 任 福継 8th NLP-KE 2012 Best Paper Award Semantic Orientation Extraction of Chinese Phrases by Discriminative Model and Global Features 20120920 Changqin Quan Fuji Ren 任 福継 IEEE NLP-KE 2011 Best Paper Award Selecting clause emotion for sentence emotion recognition 20111128 Fuji Ren 任 福継 Chinese Association for Artificial Intelligence 中国人工知能学会 Academic Contribution Award 学術貢献賞 Academic Contribution Award 20100800 Fuji Ren 任 福継 徳島大学工学部 国際化貢献賞 国際化貢献賞 20100300 Fuji Ren 任 福継 IEEE NLP-KE 2009 Best Paper Award Changqin Quan, Fuji Ren: Recognizing Sentence Emotion Based on Polynomial Kernel Method Using Ren-CECps 20090925 Atsushi Sasaki 佐々木 敦史 Masashi Adachi 足立 征士 Motoyuki Suzuki 鈴木 基之 Fuji Ren 任 福継 IEEE NLP-KE Best Paper Award Influence on Emotional Impression of Voice by Changing Prosodic Features 20090900 Fuji Ren 任 福継 CAAI Excellent Paper Aware Nadira Begum, Fattah Abdel Mohamed and Fuji Ren : STATISTICAL MODEL BASED TEXT SUMMARIZATION 20081022 Fuji Ren 任 福継 IEEE Excellent Paper Aware HAKAMATA Ai, Fuji Ren and Seiji Tsuchiya : Human Emotion Model based on Discourse Sentence for Expression Generation of Conversation Agent 20081020 Fuji Ren 任 福継 IEEE Excellent Paper Aware Caixia YUAN, Xiaojie WANG and Fuji Ren : Exploiting Lexical Information for Function Tag Labeling 20081019 Fuji Ren 任 福継 財団法人康楽会 康楽会賞 人間感情の認知及び機械感情の創生 20070116 Fuji Ren 任 福継 財団法人エレキテル尾崎財団 源内賞 スーパー関数による言語処理及び感情インターフェースの構築 20050300 Fuji Ren 任 福継 International Information Institute Best Paper Prize 優秀論文賞 Japanese-Chinese Machine Translation Using Very Large Corpora 20001000 International Information Institute 優秀論文賞 20000000 Fuji Ren 任 福継 China Association for Science and Technology Best Paper Prize 優秀論文賞 On New Generation Machine Translation Using Empirical Knowledge 19950500 中国科学技術協会 優秀論文賞 19950000 Fuji Ren 任 福継 China Association for Science and Technology Best Paper Prize 優秀論文賞 Machine Translation System based on Family model 19920500